First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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"First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images"
written by Namita Aggarwal, R. K. Agrawal,
published by Journal of Signal and Information Processing, Vol.3 No.2, 2012

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[239]	Feature Extraction and Classification of High Resolution Satellite Images using GLCM and Back Propagation Technique
	Entropy, 2013

[240]	Robot semantic place recognition based on deep belief networks and a direct use of tiny images
	Universite Paris Sud - Paris XI, 2012

[241]	SUPERVISED LEARNING APPROACH FOR BRAIN STROKE CLASSIFICATION USING DEEP LEARNING TECHNIQUES


[242]	Determination and Enhancement of the Forming Limit Curve for Sheet Metal Materials using Machine Learning Bestimmung und Erweiterung der …


[243]	Feature Extraction Techniques for Aggressive and Non-Aggressive Metabolic Conditions of Brain


[244]	Automated Detection of Alzheimer's Disease Using Wavelet Transform with Convolutional Neural Networks


[245]	Waste Management from Hawthorn Fruit Based on Ripeness Level Using Machine Vision and Deep Learning Approach

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[2]	MRI-computer vision on fresh and frozen-thawed beef: Optimization of methodology for classification and quality prediction Meat Science, 2023 DOI:10.1016/j.meatsci.2022.109054

[3]	Land Quality Index for Paddy (Oryza sativa L.) Cultivation Area Based on Deep Learning Approach using Geographical Information System and Geostatistical Techniques Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi, 2023 DOI:10.29133/yyutbd.1177796

[4]	RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3275126

[5]	Land Quality Index for Paddy (Oryza sativa L.) Cultivation Area Based on Deep Learning Approach using Geographical Information System and Geostatistical Techniques Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi, 2023 DOI:10.29133/yyutbd.1177796

[6]	Diagnostic Value of Apparent Diffusion Coefficient Statistics in Differentiating the Glioblastoma Tumors with an Oligodendroglioma and Glioblastomas Without Such Moiety International Journal of Cancer Management, 2023 DOI:10.5812/ijcm-119301

[7]	MRI-computer vision on fresh and frozen-thawed beef: Optimization of methodology for classification and quality prediction Meat Science, 2023 DOI:10.1016/j.meatsci.2022.109054

[8]	Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm Ecological Informatics, 2022 DOI:10.1016/j.ecoinf.2022.101804

[9]	Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-19660-7_3

[10]	Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system Measurement, 2022 DOI:10.1016/j.measurement.2021.110669

[11]	Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm Ecological Informatics, 2022 DOI:10.1016/j.ecoinf.2022.101804

[12]	Partial Camera Obstruction Detection Using Single Value Image Metrics and Data Augmentation 2022 6th International Conference on System Reliability and Safety (ICSRS), 2022 DOI:10.1109/ICSRS56243.2022.10067386

[13]	Fault Analysis and its Impact on Grid‐connected Photovoltaic Systems Performance 2022 DOI:10.1002/9781119873785.ch3

[14]	Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques BioMedical Engineering OnLine, 2022 DOI:10.1186/s12938-022-01022-6

[15]	Interpretable Lightweight Ensemble Classification of Normal versus Leukemic Cells Computers, 2022 DOI:10.3390/computers11080125

[16]	Lung and colon cancer classification using medical imaging: a feature engineering approach Physical and Engineering Sciences in Medicine, 2022 DOI:10.1007/s13246-022-01139-x

[17]	Machine Learning Model Based on Radiomic Features for Differentiation between COVID-19 and Pneumonia on Chest X-ray Sensors, 2022 DOI:10.3390/s22176709

[18]	Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm Ecological Informatics, 2022 DOI:10.1016/j.ecoinf.2022.101804

[19]	A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022 DOI:10.1080/21681163.2021.1986858

[20]	Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-19660-7_3

[21]	Tumor detection using brain MRI and low-dimension co-occurrence feature approach Serbian Journal of Electrical Engineering, 2022 DOI:10.2298/SJEE2203273M

[22]	Wearable/Personal Monitoring Devices Present to Future 2022 DOI:10.1007/978-981-16-5324-7_12

[23]	Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system Measurement, 2022 DOI:10.1016/j.measurement.2021.110669

[24]	Quantifying Tumor Heterogeneity from Multiparametric Magnetic Resonance Imaging of Prostate Using Texture Analysis Cancers, 2022 DOI:10.3390/cancers14071631

[25]	Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image International Journal of Biomedical Imaging, 2022 DOI:10.1155/2022/5336373

[26]	LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/5906877

[27]	Script Identification for Printed and Handwritten Indian Documents: An Empirical Study of Different Feature Classifier Combinations International Journal of Image and Graphics, 2022 DOI:10.1142/S0219467821400118

[28]	Exploring the Utility of Anonymized EHR Datasets in Machine Learning Experiments in the Context of the MODELHealth Project Applied Sciences, 2022 DOI:10.3390/app12125942

[29]	Vector textures derived from higher order derivative domains for classification of colorectal polyps Visual Computing for Industry, Biomedicine, and Art, 2022 DOI:10.1186/s42492-022-00108-1

[30]	Multiple analyses suggests texture features can indicate the presence of tumor in the prostate tissue Physical and Engineering Sciences in Medicine, 2022 DOI:10.1007/s13246-022-01118-2

[31]	A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3187404

[32]	RETRACTED ARTICLE: Classification based on underwater degradation using neural network Journal of Ambient Intelligence and Humanized Computing, 2021 DOI:10.1007/s12652-020-02437-6

[33]	Lightweight Classification of Normal Versus Leukemic Cells Using Feature Extraction 2021 IEEE Symposium on Computers and Communications (ISCC), 2021 DOI:10.1109/ISCC53001.2021.9631499

[34]	Exploring the correlation between semantic descriptors and texture analysis features in brain MRI Chinese Journal of Academic Radiology, 2021 DOI:10.1007/s42058-021-00064-4

[35]	Optimization of the image acquisition procedure in low-field MRI for non-destructive analysis of loin using predictive models PeerJ Computer Science, 2021 DOI:10.7717/peerj-cs.583

[36]	The impact of site-specific digital histology signatures on deep learning model accuracy and bias Nature Communications, 2021 DOI:10.1038/s41467-021-24698-1

[37]	Internet of Things for Healthcare Technologies Studies in Big Data, 2021 DOI:10.1007/978-981-15-4112-4_9

[38]	Artificial Intelligence and Industrial Applications Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-3-030-51186-9_27

[39]	Bone Structure Analysis of the Radius Using Ultrahigh Field (7T) MRI: Relevance of Technical Parameters and Comparison with 3T MRI and Radiography Diagnostics, 2021 DOI:10.3390/diagnostics11010110

[40]	The impact of site-specific digital histology signatures on deep learning model accuracy and bias Nature Communications, 2021 DOI:10.1038/s41467-021-24698-1

[41]	Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine learning International Journal of Imaging Systems and Technology, 2021 DOI:10.1002/ima.22542

[42]	Big Data Analytics Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-66665-1_11

[43]	Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020 DOI:10.1109/IGARSS39084.2020.9323630

[44]	Brain tumor detection and classification using SIFT in MRI images PROCEEDINGS OF THE 2020 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE MANUFACTURING, MATERIALS AND TECHNOLOGIES, 2020 DOI:10.1063/5.0031014

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[47]	Magnetic Resonance Imaging-derived Radiomic Signature Predicts Locoregional Failure after Organ Preservation Therapy in Patients with Hypopharyngeal Squamous Cell Carcinoma Clinical and Translational Radiation Oncology, 2020 DOI:10.1016/j.ctro.2020.08.004

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[49]	Non Invasive Anemia Detection in Pregnant Women Based on Digital Image Processing and K-Nearest Neighbor 2020 3rd International Conference on Biomedical Engineering (IBIOMED), 2020 DOI:10.1109/IBIOMED50285.2020.9487605

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[54]	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-33904-3_27

[55]	An MR Radiomics Framework for Predicting the Outcome of Stereotactic Radiation Therapy in Brain Metastasis* 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 DOI:10.1109/EMBC.2019.8856558

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[57]	Assessment of Image-Texture Improvement Applied to Unmanned Aerial Vehicle Imagery for the Identification of Biotic Stress in Espeletia. Case Study: Moorlands of Chingaza (Colombia) Ciencia e Ingeniería Neogranadina, 2019 DOI:10.18359/rcin.3842

[58]	Conventional and deep feature oriented quality inspection of internal defected eggs using infrared imaging Proceedings of the 6th International Conference on Networking, Systems and Security, 2019 DOI:10.1145/3362966.3362969

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[60]	Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018 DOI:10.1109/CBMS.2018.00051

[61]	Proto-Object Based Saliency Model with Second-Order Texture Feature 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018 DOI:10.1109/BIOCAS.2018.8584749

[62]	Hidden Biases in Automated Image-Based Plant Identification 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018 DOI:10.1109/IWOBI.2018.8464187

[63]	Monitoring Progression of Amyotrophic Lateral Sclerosis Using Ultrasound Morpho-Textural Muscle Biomarkers: A Pilot Study Ultrasound in Medicine & Biology, 2018 DOI:10.1016/j.ultrasmedbio.2017.09.013

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[65]	GPU-based Gray-Level Co-occurrence Matrix for Extracting Features from Magnetic Resonance Images 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC), 2017 DOI:10.1109/ISPAN-FCST-ISCC.2017.80

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[67]	Using high-resolution satellite imagery to provide a relief priority map after earthquake Natural Hazards, 2017 DOI:10.1007/s11069-017-3085-y

[68]	Prediction of pork quality parameters by applying fractals and data mining on MRI Food Research International, 2017 DOI:10.1016/j.foodres.2017.06.048

[69]	Reclaiming the image of daguerreotypes: Characterization of the corroded surface before and after atmospheric plasma treatment Journal of Cultural Heritage, 2017 DOI:10.1016/j.culher.2017.05.008

[70]	Quantitative Muscle Ultrasonography Using Textural Analysis in Amyotrophic Lateral Sclerosis Ultrasonic Imaging, 2017 DOI:10.1177/0161734617711370

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[72]	Texture classification using Shearlet transform and GLCM 2017 Iranian Conference on Electrical Engineering (ICEE), 2017 DOI:10.1109/IranianCEE.2017.7985354

[73]	Automated detection of cavernous malformations in brain MRI images 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 2017 DOI:10.1109/NER.2017.8008281

[74]	GPU-Accelerated Features Extraction From Magnetic Resonance Images IEEE Access, 2017 DOI:10.1109/ACCESS.2017.2756624

[75]	Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries Sensors, 2017 DOI:10.3390/s17112644

[76]	Extended gray level co-occurrence matrix computation for 3D image volume Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 2017 DOI:10.1117/12.2266977

[77]	Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterization of Scanning Electron Microscopy Images Industrial & Engineering Chemistry Research, 2017 DOI:10.1021/acs.iecr.7b01106

[78]	Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterization of Scanning Electron Microscopy Images Industrial & Engineering Chemistry Research, 2017 DOI:10.1021/acs.iecr.7b01106

[79]	Identify and Classify Normal and Defects of Prunus_armeniaca Using Imaging Techniques Kurdistan Journal of Applied Research, 2017 DOI:10.24017/science.2017.3.11

[80]	Prediction of pork quality parameters by applying fractals and data mining on MRI Food Research International, 2017 DOI:10.1016/j.foodres.2017.06.048

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[82]	Lung sounds classification using spectrogram's first order statistics features 2016 6th International Annual Engineering Seminar (InAES), 2016 DOI:10.1109/INAES.2016.7821914

[83]	Computer Vision Based Fruit Grading System for Quality Evaluation of Tomato in Agriculture industry Procedia Computer Science, 2016 DOI:10.1016/j.procs.2016.03.055

[84]	Classification of coronary artery tissues using optical coherence tomography imaging in Kawasaki disease Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 2016 DOI:10.1117/12.2216943

[85]	Standardization of infrared breast thermogram acquisition protocols and abnormality analysis of breast thermograms Thermosense: Thermal Infrared Applications XXXVIII, 2016 DOI:10.1117/12.2223421

[86]	Medical Imaging in Clinical Applications Studies in Computational Intelligence, 2016 DOI:10.1007/978-3-319-33793-7_21

[87]	Classifying human emotional states using wireless EEG based ERP and functional connectivity measures 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016 DOI:10.1109/BHI.2016.7455869

[88]	Computer aided detection and classification of acute lymphoblastic leukemia cell subtypes based on microscopic image analysis Microscopy Research and Technique, 2016 DOI:10.1002/jemt.22718

[89]	Feature Selection for Intelligent Firefighting Robot Classification of Fire, Smoke, and Thermal Reflections Using Thermal Infrared Images Journal of Sensors, 2016 DOI:10.1155/2016/8410731

[90]	Study on the potential of combined GLCM features towards medicinal plant classification 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC), 2016 DOI:10.1109/CIEC.2016.7513746

[91]	Low-order statistical analysis of 1-D diffuse reflectance signals from cancer cells using 2-D scalogram images 2016 IEEE International Conference on Imaging Systems and Techniques (IST), 2016 DOI:10.1109/IST.2016.7738218

[92]	A robust associative watermarking technique based on frequent pattern mining and texture analysis Proceedings of the 8th International Conference on Management of Digital EcoSystems - MEDES, 2016 DOI:10.1145/3012071.3012101

[93]	Brain tumor types and grades classification based on statistical feature set using support vector machine 2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016 DOI:10.1109/ISCO.2016.7726910

[94]	Ultrasound chest muscle characterization using 2D texture analysis 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2016 DOI:10.1109/IECBES.2016.7843409

[95]	Bruise detection in apples using infrared imaging 2016 9th International Conference on Electrical and Computer Engineering (ICECE), 2016 DOI:10.1109/ICECE.2016.7853870

[96]	A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data Sensors, 2016 DOI:10.3390/s17010018

[97]	Quantitative Sonographic Texture Analysis in Preterm Neonates With White Matter Injury Journal of Ultrasound in Medicine, 2015 DOI:10.7863/ultra.15.01031

[98]	A texture and curvature bimodal leaf recognition model for identification of Costa Rican plant species 2015 Latin American Computing Conference (CLEI), 2015 DOI:10.1109/CLEI.2015.7360026

[99]	Quantitative Sonographic Texture Analysis in Preterm Neonates With White Matter Injury Journal of Ultrasound in Medicine, 2015 DOI:10.7863/ultra.15.01031

[100]	Systems Design for Remote Healthcare 2014 DOI:10.1007/978-1-4614-8842-2_5

[101]	Speckle characterization methods in ultrasound images – A review IRBM, 2014 DOI:10.1016/j.irbm.2014.05.003

[102]	Fractal analysis of the structural complexity of the connective tissue in human carotid bodies Frontiers in Physiology, 2014 DOI:10.3389/fphys.2014.00432

[103]	ELECTROCARDIOGRAM BEAT CLASSIFICATION USING S-TRANSFORM BASED FEATURE SET Journal of Mechanics in Medicine and Biology, 2014 DOI:10.1142/S0219519414500663

[104]	Analysis of Skin Inheritance Using FOS 2014 Fifth International Conference on Signal and Image Processing, 2014 DOI:10.1109/ICSIP.2014.15

[105]	Classification of hematomas in brain CT images using neural network 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 DOI:10.1109/ICICICT.2014.6781250

[106]	Systems Design for Remote Healthcare 2014 DOI:10.1007/978-1-4614-8842-2_5

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