Journals Menu
Follow SCIRP
Contact us
+1 323-425-8868
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat

Journal of Computer and Communications

Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks"
written by Wen Li, Fucang Jia, Qingmao Hu,
published by Journal of Computer and Communications, Vol.3 No.11, 2015
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net
Medical Image …, 2023
[2] WSNet: Towards an Effective Method for Wound Image Segmentation
Proceedings of the …, 2023
[3] Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning
Gene Expression Patterns, 2023
[4] Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Kababji, F Bensaali, SP Dakua… - Engineering Applications of …, 2023
[5] Importance of Deep Learning Models in the Medical Imaging Field
… and Applications of Deep Learning in Virtual …, 2022
[6] Graph Representation Learning for Biometric and Biomedical Images Analysis
2022
[7] Liver Texture Classification on CT Images of Microwave Ablation Therapy
… Conference on Data …, 2022
[8] Deep Learning Methods to Identify Human Cranium, Brain Ventricles, and Intracranial Hemorrhage Using Tissue Pulsatility Ultrasound Imaging
2022
[9] Autism spectrum disorder analysis by using a 3D-ResNet-based approach
… on Digital Image Processing (ICDIP 2022), 2022
[10] Domain Transformation for PMMA-Inserted Vertebral Body Segmentation.
J. Comput. Sci. Eng., 2022
[11] A lung tumor detection technique using gradient vector flow algorithm
AIP Conference …, 2022
[12] Deep learning neural network with transferlearning for liver cancer classification
2022
[13] Importance of Deep Learning Models to Perform Segmentation on Medical Imaging Modalities
Data Engineering for Smart Systems, 2022
[14] Less is More: Contrast Attention Assisted U-Net for Kidney, Tumor and Cyst Segmentations
International Challenge on Kidney and Kidney Tumor …, 2022
[15] Improved Salp Swarm Optimization-based Fuzzy Centroid Region Growing for Liver Tumor Segmentation and Deep Learning Oriented Classification.
International Journal of Next …, 2022
[16] Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images
International Journal of Imaging …, 2022
[17] Hybrid‐attention densely connected U‐Net with GAP for extracting livers from CT volumes
Medical Physics, 2022
[18] Study of deep learning techniques for medical image analysis: A review
Materials Today …, 2022
[19] An Encoder-Decoder Network for Automatic Clinical Target Volume Target Segmentation of Cervical Cancer in CT Images
International Journal of Crowd …, 2022
[20] Deep learning and augmented radiology
Multimodality Imaging, Volume 1: Deep …, 2022
[21] A holistic overview of deep learning approach in medical imaging
Multimedia Systems, 2022
[22] Multi-Task Deep Learning Approach for Simultaneous Objective Response Prediction and Tumor Segmentation in HCC Patients with Transarterial …
Journal of Personalized Medicine, 2022
[23] Automated distinction of neoplastic from healthy liver parenchyma based on machine learning
Neural Computing and …, 2022
[24] Deep learning in biomedical imaging
Multimodality Imaging, Volume 1: Deep …, 2022
[25] An Internet of Medical Things Based Liver Tumor Detection System using Semantic Segmentation
Journal of Internet Technology, 2022
[26] Detection of Liver Cancer through Computed Tomography Images using Deep Convolutional Neural Networks
2022 2nd International …, 2022
[27] Modified U-Net for fully automatic liver segmentation from abdominal CT-image
International …, 2022
[28] Segmentation of liver computed tomography images using dictionary-based snakes
International Journal of …, 2022
[29] Automatic Detection of Brain Tumor from CT and MRI Images using Wireframe model and 3D Alex-Net
… Conference on Decision …, 2022
[30] High precision detection of small hepatocellular carcinoma using improved EfficientNet with Self-Attention
… on Computer and Information Science (ICIS …, 2022
[31] Cross-spectral human behavior recognition based on deep convolutional networks for global temporal representation
Journal of Electronic …, 2022
[32] Artificial intelligence: A review of current applications in hepatocellular carcinoma imaging
… and Interventional Imaging, 2022
[33] Early Prediction of Sepsis Onset Using Neural Architecture Search Based on Genetic Algorithms
International journal of …, 2022
[34] Efficient Local Cloud-Based Solution for Liver Cancer Detection Using Deep Learning
International Journal of …, 2022
[35] Segmentation of Liver Tumor in CT Scan Using ResU-Net
Applied Sciences, 2022
[36] Convolutional neural network in the detection of gastrointestinal tumor and tap
… Computing: Informatics and …, 2022
[37] Deep learning for image-based liver analysis—A comprehensive review focusing on malignant lesions
Artificial Intelligence in …, 2022
[38] Artificial intelligence assisted identification of therapy history from periapical films for dental root canal
Displays, 2022
[39] Efficient two-step liver and tumour segmentation on abdominal CT via deep learning and a conditional random field
Computers in Biology …, 2022
[40] Federated Learning for Healthcare Domain-Pipeline, Applications and Challenges
ACM Transactions on Computing for …, 2022
[41] Decision Support System for Liver Lesion Segmentation Based on Advanced Convolutional Neural Network Architectures
Bioengineering, 2022
[42] RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation
Artificial Intelligence in Medicine, 2022
[43] A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet
Bioengineering, 2022
[44] Grayscale medical image segmentation method based on 2D&3D object detection with deep learning
BMC Medical …, 2022
[45] Optimizable Image Segmentation Method with Superpixels and Feature Migration for Aerospace Structures
Aerospace, 2022
[46] Fully automatic knee bone detection and segmentation on three-dimensional MRI
Diagnostics, 2022
[47] Automated Tumor Segmentation in Radiotherapy
Seminars in Radiation …, 2022
[48] Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network
International Journal of Imaging …, 2022
[49] Soft optimization techniques for automatic liver cancer detection in abdominal liver images
… journal of health …, 2022
[50] A review on the use of deep learning for medical images segmentation
Neurocomputing, 2022
[51] Deep learning techniques for liver and liver tumor segmentation: A review
Computers in Biology …, 2022
[52] A computer-aided diagnostic system for liver tumor detection using modified U-Net architecture
The Journal of …, 2022
[53] Deep Learning Hybrid Techniques for Brain Tumor Segmentation
Sensors, 2022
[54] FireNet-MLstm for classifying liver lesions by using deep features in CT images
Multimedia Tools and Applications, 2022
[55] Liver Lesions Classification System using CNN with Improved Accuracy
JOURNAL OF ADVANCED APPLIED …, 2022
[56] Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligence
Artificial Intelligence in Gastroenterology, 2022
[57] 肝細胞がん治療効果判定のための CT 画像中の早期濃染領域検出
第 84 回全国大会講演 …, 2022
[58] Role of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma
Artificial Intelligence in Gastroenterology, 2022
[59] Метод сегментации изображения рака прямой кишки на основе сети U-Net
2022
[60] Modélisation et description par graphes pour des formes géométriques complexes Application aux structures de l'oreille
2021
[61] Effects of Multiple Filters on Liver Tumor Segmentation From CT Images
Frontiers in …, 2021
[62] Volumetric CT Texture Analysis of Intrahepatic Mass-Forming Cholangiocarcinoma for the Prediction of Postoperative Outcomes: Fully Automatic Tumor …
Korean journal of …, 2021
[63] Non-invasive multi-channel deep learning convolutional neural networks for localization and classification of common hepatic lesions
Polish Journal of …, 2021
[64] Research progress of gliomas in machine learning
Cells, 2021
[65] An automated slice sorting technique for multi-slice computed tomography liver cancer images using convolutional network
Expert Systems with Applications, 2021
[66] Cancer diagnosis using artificial intelligence: a review
Artificial Intelligence Review, 2021
[67] TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks
2021 43rd Annual …, 2021
[68] A systematic review of the automatic kidney segmentation methods in abdominal images
Biocybernetics and Biomedical Engineering, 2021
[69] Image segmentation in 3d brachytherapy using convolutional lstm
Journal of Medical and …, 2021
[70] Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning
International Journal of …, 2021
[71] Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images
IEEE Transactions on …, 2021
[72] Significant Advancements in Cancer Diagnosis Using Machine Learning
Cancer Prediction for Industrial IoT 4.0: A …, 2021
[73] Attention Convolutional U-Net for Automatic Liver Tumor Segmentation
… on Frontiers of Information Technology (FIT), 2021
[74] A semantic segmentation algorithm supported by image processing and neural network
2021 IEEE International Conference on …, 2021
[75] An Efficient Approach for Gastric Polyps Detection Based on Improved SSD
2021 China Automation Congress …, 2021
[76] Automated liver tumor segmentation and classification using AI and fully convolutional neural network (CNN)
2021
[77] Deep-learning based prediction model for dose distributions in lung cancer patients
2021
[78] Brain Tumor Detection Using Various Deep Learning Algorithms
… Conference on Science & …, 2021
[79] Preoperative Diagnosis of Hepatocellular Carcinoma Patients with Bile Duct Tumor Thrombus using Deep Learning Method
2021
[80] MVDI25K: A large-scale dataset of microscopic vaginal discharge images
BenchCouncil Transactions on …, 2021
[81] Recent Advances in Deep Learning Techniques and Its Applications: An Overview
2021
[82] Deep Learning Algorithms in Medical Image Processing for Cancer Diagnosis: Overview, Challenges and Future
2021
[83] Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
2021
[84] A Residual-Learning-Based Multi-Scale Parallel-Convolutions-Assisted Efficient CAD System for Liver Tumor Detection
2021
[85] Analysis on segmentation and biomarker‐based approaches for liver cancer detection: A survey
2021
[86] Automatic Detection and Segmentation of Liver Tumors in Multi-phase CT Images by Phase Attention Mask R-CNN
2021
[87] Limited-angle CT reconstruction via data-driven deep neural network
2021
[88] Application of Neural Networks for Detection of Sexual Harassment in Workspace
2021
[89] CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging
2021
[90] Anatomy-aided deep learning for medical image segmentation: a review
2021
[91] Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis
2021
[92] Automatic Detection and Segmentation of Liver Tumors in Computed Tomography Images: Methods and Limitations
2021
[93] GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets
2021
[94] Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations
2021
[95] Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
2021
[96] Current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy
2021
[97] A Densely Connected UNet3D Network Combined Attention Mechanism for Liver and Tumor Segmentation
2021
[98] An Adaptive Learning Method of Anchor Shape Priors for Biological Cells Detection and Segmentation
2021
[99] In-Series U-Net Network to 3D Tumor Image Reconstruction for Liver Hepatocellular Carcinoma Recognition
2021
[100] DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation
2021
[101] Respiratory-correlated 4D digital tomosynthesis with deep convolutional neural networks for image-guided radiation therapy
2021
[102] An Automatic Liver Tumor Detection Method Using Moving Means
International Journal of Computer Vision and Signal Processing, 2021
[103] Tensor Flow Model in Medical Image Analysis-Review
2021
[104] Liver Cancer Trait Detection and Classification Through Machine Learning on Smart Mobile Devices
2021
[105] Interactive medical image segmentation via a point-based interaction
2021
[106] Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image
2021
[107] Current Status of Radiomics and Deep Learning in Liver Imaging
2021
[108] Per-voxel Prediction on Medical Images via Deep Neural Networks
2020
[109] Medical Image Segmentation Using Deep Learning: A Survey.
2020
[110] Adversarial graph learning and deep learning techniques for improving diagnosis within CT and ultrasound images
2020
[111] An Efficient Liver Tumor Detection using Machine Learning
2020
[112] Evaluation of Transfer Learning with CNN to classify the Jaw Tumors
2020
[113] A deep convolutional neural network for simultaneous denoising and deblurring in computed tomography
2020
[114] Prediction of Liver Cancer by Artificial Neural Network
2020
[115] Detection and Categorization of Liver Diseases Using Level Set Based Back Propagation Neural Network Technique
2020
[116] MLung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging
2020
[117] Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's …
2020
[118] Deep learning for liver tumour classification: enhanced loss function
2020
[119] Deep Learning Techniques for Image Segmentation of Whole Body MRI
2020
[120] Medical Image Segmentation Using Deep Learning: A Survey
2020
[121] Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
2020
[122] Automatic Segmentation of Tumors and Affected Organs in the Abdomen Using a 3D Hybrid Model for Computed Tomography Imaging
2020
[123] Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound …
2020
[124] Liver tumor segmentation in CT scans using modified segnet
2020
[125] Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System
2020
[126] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
2020
[127] Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN
2020
[128] Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging
2020
[129] Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation
2020
[130] Deep learning and level set approach for liver and tumor segmentation from CT scans
2020
[131] Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm
2020
[132] A Novel Approach to Machine Learning Application to Protection Privacy Data in Healthcare: Federated Learning
2020
[133] Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks
2020
[134] A deep learning based review on abdominal images
2020
[135] Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
2020
[136] A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
2020
[137] Predicting the prognosis of MCI patients using longitudinal MRI data
2020
[138] Computer-Aided Diagnosis of liver lesions using CT images: A systematic review
2020
[139] The Age of Cyberpsychology: An Overview
2020
[140] DA-Capnet: Dual Attention Deep Learning Based on U-Net for Nailfold Capillary Segmentation
2020
[141] M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
2020
[142] Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT
2020
[143] Lung Cancer Prediction using Machine Learning: A Comprehensive Approach
2020
[144] Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis
2020
[145] Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging
2020
[146] Medical image segmentation based on deep feature learning and multistage classification
2020
[147] Hybrid deep learning network for vascular segmentation in photoacoustic imaging
2020
[148] A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
2020
[149] On Medical Image Segmentation and on Modeling Long Term Dependencies
2020
[150] Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
IEEE transactions on …, 2020
[151] Medical images indexation and annotation
2020
[152] Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis.
ICAART (2), 2020
[153] The age of cyberpsychology: An overview.
Technology, Mind, and Behavior, 2020
[154] Combined Cognitive-Motivational Modules Delivered via an LMS Increase Undergraduate Biology Grades.
Grantee Submission, 2020
[155] Detection of CT-Liver Lesions using Otsu Algorithm and Morphological Operations
2019
[156] Tecnicas de Deep Learning para a determinação da idade óssea
2019
[157] Automatic Lesion Detection in Periapical X-rays
2019
[158] Pancreatic Segmentation via Ringed Residual U-Net
2019
[159] State-of-the-art review on deep learning in medical imaging.
2019
[160] Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques
2019
[161] Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model
2019
[162] Cascaded Deep Convolutional Encoder-Decoder Neural Networks for Efficient Liver Tumor Segmentation
2019
[163] Cancer Diagnosis Using Deep Learning: A Bibliographic Review
2019
[164] Computing Valid p-values for Image Segmentation by Selective Inference
2019
[165] 深度学习在影像医学应用中的初步研究进展
2019
[166] Deep learning for variational multimodality tumor segmentation in PET/CT
2019
[167] Liver Tumor Segmentation Using Triplanar Convolutional Neural Network: A Pilot Study
2019
[168] A review of medical image detection for cancers in digestive system based on artificial intelligence
2019
[169] Assessment of the response of hepatocellular carcinoma to interventional radiology treatments
2019
[170] Multimodal 3D Convolutional Neural Networks for Classification of Brain Disease Using Structural MR and FDG-PET Images
2019
[171] Detection of Liver Cancer Using Modified Fuzzy Clustering and Decision Tree Classifier in CT Images
2019
[172] Hyper‐reflective foci segmentation in SD‐OCT retinal images with diabetic retinopathy using deep convolutional neural networks
2019
[173] Assessment of ASPECTS from CT Scans using Deep Learning
2019
[174] Lung Nodule Segmentation Based on Convolutional Neural Networks Using Multi-orientation and Patchwise Mechanisms
2019
[175] Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents
2019
[176] The Role of Convolutional Neural Networks in the Automatic Recognition of the Hepatocellular Carcinoma, Based on Ultrasound Images
2019
[177] A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments
Expert Systems with Applications, 2019
[178] Liver Tumor Segmentation and Subsequent Risk Prediction Based on Deeplabv3+
2019
[179] Mean of Means: An Automatic Liver Segmentation Algorithm
2019
[180] Liver Tumor Segmentation Based on Multi-Scale Candidate Generation and Fractal Residual Network
2019
[181] Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
2019
[182] Automatic segmentation of kidney and liver tumors in CT images
2019
[183] Artificial intelligence in medical imaging of the liver
World Journal of Gastroenterology, 2019
[184] Brain Tissue Segmentation Integrating Multi-level Features
2019
[185] Liver Detection Algorithm Based on an Improved Deep Network Combined With Edge Perception
2019
[186] Deep Learning for Medical Image Analysis
Proceedings of the International Conference on Recent Advances in Electrical Systems, 2019
[187] Deep learning for field-based automated high-throughput plant phenotyping
2019
[188] A modified scheme for liver tumor segmentation based on cascaded FCNs
2019
[189] Automatic Liver and Tumor Segmentation of CT Based on Cascaded U-Net
Proceedings of 2018 Chinese Intelligent Systems Conference, 2019
[190] Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring
2019
[191] Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm
2019
[192] Extracting high-dimensional features from medical images by utilizing deep learning techniques.
2019
[193] Radiological images and machine learning: Trends, perspectives, and prospects
2019
[194] The Present and Future of Deep Learning in Radiology
2019
[195] State-of-the-art review on deep learning in medical imaging
2019
[196] Computer-Aided Developments: Electronics and Communication: Proceeding of the First Annual Conference on Computer-Aided Developments in …
2019
[197] Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN
2019
[198] Experiments in Medical Image Segmentations
2019
[199] Evolving role of magnetic resonance techniques in primary sclerosing cholangitis
2019
[200] CU-Net: Cascaded U-Net Model for Automated Liver and Lesion Segmentation and Summarization
2019
[201] HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques
2019
[202] Deep Strategies in Computer-Assisted Diagnosis and Classification of Abnormalities in Medical Images
2019
[203] Automatic Liver and Tumor Segmentation from CT Scan Images using Gabor Feature and Machine Learning Algorithms
2018
[204] Lesion Detection of Computed Tomography and Magnetic Resonance Imaging Image Based on Fully Convolutional Networks
2018
[205] automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
2018
[206] Automatic Tumor Segmentation Using Machine Learning Classifiers
2018
[207] A Brain Tumor Segmentation New Method Based on Statistical Thresholding and Multiscale CNN
Intelligent Computing Methodologies, 2018
[208] Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images
Neurocomputing, 2018
[209] RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
2018
[210] A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors
2018
[211] Zastosowanie „deep learningu” w analizie obrazów medycznych
Prace doktorantów Wydzia?u Elektrotechniki i Informatyki Politechniki Lubelskiej, 2018
[212] A Unified Level Set Framework Combining Hybrid Algorithms for Liver and Liver Tumor Segmentation in CT Images
BioMed Research International, 2018
[213] Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework
Patch-Based Techniques in Medical Imaging, 2018
[214] Analysis of Parkinson's Disease Data
Procedia Computer Science, 2018
[215] Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network
Journal of Medical Imaging, 2018
[216] Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations
Neurocomputing, 2018
[217] Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation
2018
[218] Traffic sign integrity analysis using deep learning
2018
[219] Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
2018
[220] Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks
Computers in Biology and Medicine, 2018
[221] Deep Learning for Image-based Cancer Detection and Diagnosis—A Survey
Pattern Recognition, 2018
[222] Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies
Medical & Biological Engineering & Computing, 2018
[223] Identifikasi Penyakit Hepatocellular Carcinoma (HCC) pada Citra CT-Scan Menggunakan Probabilistic Neural Network
2018
[224] Deep learning in medical imaging and radiation therapy
Medical physics, 2018
[225] Renal Segmentation Algorithm Combined Low-level Features with Deep Coding Feature
2018
[226] Semi-automatic Detection of Liver Lesions in Computed Tomography Images Using Digital Image Processing Techniques
2018
[227] Thrombus detection in ct brain scans using a convolutional neural network
2017
[228] Deep Learning for Automatic Early Ischemic Changes Detection in Patients with Acute Ischemic Stroke
AMC, Biomedical Eng& Fysics, 2017
[229] Liver Lesion Segmentation in CT Images with MK-FCN
2017
[230] Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT …
International Journal of Computer Assisted Radiology and Surgery, 2017
[231] Classification of Dental Diseases U sing CNN and Transfer Learning
2017
[232] Automatic detection of new tumors and tumor burden evaluation in longitudinal liver CT scan studies
International Journal of Computer Assisted Radiology and Surgery, 2017
[233] Thrombus Detection in CT Brain Scans using a Convolutional Neural Network.
2017
[234] A survey on deep learning in medical image analysis
2017
[235] II-FCN for skin lesion analysis towards melanoma detection
2017
[236] Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
2017
[237] Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs
Artificial Intelligence in Medicine, 2017
[238] 3D-brain segmentation using deep neural network and Gaussian mixture model
2017
[239] Texture-based treatment prediction by automatic liver tumor segmentation on computed tomography
2017
[240] 3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts
BioMed Research International, 2017
[241] Deep Semantic Segmentation of Kidney and Space-occupying Lesion Area Using SCNN and ResNet models combined with SIFT-Flow Algorithm
2017
[242] Classification of dental diseases using CNN and transfer learning
2017
[243] Deep Learning in Radiology: Recent Advances, Challenges and Future Trends
2016
[244] Computer aided renal calculi detection using Convolutional Neural Networks
Thesis, 2016
[245] Fully Convolutional Network for Liver Segmentation and Lesions Detection
Deep Learning and Data Labeling for Medical Applications, 2016
[246] Iris nevus diagnosis: convolutional neural network and deep belief network
2015
[247] Segmentação de Nódulos Pulmonares Baseada em Redes Neurais Convolucionais (CNN)
[248] The Efficacy of CT Scan in Evaluation of Hepatic Tumors taking Histopathology as Gold Standard
[249] Deep Residual Learning with Anscombe Transformation for Low-Dose Digital Tomosynthesis
Follow SCIRP
Twitter Facebook Linkedin Weibo
Contact us
+1 323-425-8868
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top