Modified technique for volumetric brain tumor measurements

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 1.68
Citations

Journals Menu

"Modified technique for volumetric brain tumor measurements"
written by Yasser M. Salman,
published by Journal of Biomedical Science and Engineering, Vol.2 No.1, 2009

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches
	Acta Neurologica Belgica, 2024

[2]	A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
	Health and Technology, 2023

[3]	Brain tumor segmentation using fuzzy otsu threshold morphological algorithm
	Ngiamvibool - IAENG International Journal of Applied …, 2023

[4]	Recent advancement in learning methodology for segmenting brain tumor from magnetic resonance imaging-a review
	Multimedia Tools and …, 2023

[5]	Tumor delineation from 3-d mr brain images
	Signal, Image and Video Processing, 2023

[6]	Segmentation and 3D reconstruction of brain tumor using trust region-particle swarm optimization TR-PSO: a novel approach
	2022

[7]	Detection and classification of brain tumors in MRI images using deep convolutional neural network
	2022

[8]	Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata
	Journal of Medical …, 2022

[9]	Brain Tumor Segmentation using 3D U-Net with Hyperparameter Optimization
	2021 3rd Novel …, 2021

[10]	Segmentation, classification, and 3D reconstruction of brain tumors in MRI using deep learning and PSO algorithm
	2021

[11]	A Comparative Study on Various Machine Learning Techniques for Brain Tumor Detection Using MRI
	Global Emerging Innovation Summit, 2021

[12]	A volumetric approach to age estimation informed by voxel selection: Application to the spheno-occipital synchondrosis
	2021

[13]	Brain tumor detection and classification using machine learning: a comprehensive survey
	Complex & Intelligent …, 2021

[14]	Tumor Doubling Time Using CT Volumetric Segmentation in Metastatic Adrenocortical Carcinoma
	Current …, 2021

[15]	Brain tumor segmentation with multimodal magnetic resonance imaging
	2021

[16]	An Automatic Glioma Detection and Extraction Framework for the Removal of Shrinkage in Segmentation
	2020

[17]	Contrast-Enhanced T1-Weighted Digital Subtraction for Increased Lesion Conspicuity and Quantifying Treatment Response in Malignant Gliomas
	2020

[18]	A survey on brain tumor detection techniques for MR images
	2020

[19]	Quantitative Volume Measurement of Brain Tumor for Treatment and Planning
	2019

[20]	A review on brain tumor segmentation of MRI images
	2019

[21]	Review on 2D and 3D MRI Image Segmentation Techniques
	2019

[22]	3D Visualization of Brain Tumors Using MR Images: A Survey
	2019

[23]	Brain structural disorders detection and classification approaches: a review
	2019

[24]	A 3-dimensional Brain Tumor Segmentation using Hybrid Intelligent Algorithms
	2018

[25]	Brain Tumor Boundary Segmentation of MR Imaging using Spatial Domain Image Processing
	2017

[26]	Automatic Detection of Brain Tumor Using ROI (Region of Interest)
	International Research Journal in Global Engineering and Sciences, 2017

[27]	Automatic Tumor Segmentation from MRI scans
	2016

[28]	Measuring glioma volumes: A comparison of linear measurement based formulae with the manual image segmentation technique
	2016

[29]	A comprehensive review: Segmentation of MRI images—brain tumor
	International Journal of Imaging Systems and Technology, 2016

[30]	Brain Tumor Detection and Segmentation in Multisequence MRI
	Thesis, 2015

[31]	Brain Tumour Segmentation Methods: A
	ETCEE–2015, 2015

[32]	Brain Tumor Segmentation Methods: A Review
	2015

[33]	Tumor Detection through Image Processing Using MRI
	2015

[34]	Response Assessment and Magnetic Resonance Imaging Issues for Clinical Trials Involving High-Grade Gliomas
	Topics in Magnetic Resonance Imaging, 2015

[35]	Tumor volume fuzzification for intelligent cancer staging
	Applied Soft Computing, 2015

[36]	Automated Glioma Segmentation in MRI using Deep Convolutional Networks
	Thesis, 2015

[37]	Detekce a segmentace mozkového nádoru v multisekvenčním MRI
	2015

[38]	Volumetric segmentation of brain tumor based on intensity features of multimodality magnetic resonance imaging
	Computer, Communication and Control (IC4), 2015 International Conference on, 2015

[39]	Tumor segmentation in brain MRI using a fuzzy approach with class center priors
	EURASIP Journal on Image and Video Processing, 2014

[40]	The Detection and Visualization of Brain Tumors on T2-Weighted MRI Images Using Multiparameter Feature Blocks
	SL Wakchaure, GD Ghuge, DS Musale - ijetae.com, 2014

[41]	Emerging techniques and technologies in brain tumor imaging
	Neuro-oncology, 2014

[42]	Response Assessment in Locally Advanced Head and Neck Cancer Based on RECIST and Volume Measurements Using Cone Beam CT Images
	Technology in cancer research & treatment, 2014

[43]	A survey of MRI-based brain tumor segmentation methods
	Tsinghua Science and Technology, 2014

[44]	A Survey Of Segmentation Of Brain Tumor From Mri Brain Images
	2014

[45]	State of the art survey on MRI brain tumor segmentation
	Magnetic resonance imaging, 2013

[46]	A Fuzzy Tumor Volume Estimation Approach Based on Fuzzy Segmentation of MR Images
	SA Yones, AS Moussa - waset.org, 2012

[47]	3D Representation of Human Skull Bearing the Tumor Using Image Processing
	2012

[48]	Herramienta computacional para la segmentación de tumores cerebrales en Imágenes de Resonancia Magnética
	2012

[49]	3D volume representation of brain tumor using Image Processing
	2011

[50]	Brain Tumors: ow Can Images and Segmentation Techniques elp?
	2011

[51]	Brain tumours: How can images and segmentation techniques help?
	Diagnostic Techniques and Surgical Management of Brain Tumors, 2011

[52]	A Review on Brain Tumor Segmentation and Registration of MR Images

[1]	Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches Acta Neurologica Belgica, 2024 DOI:10.1007/s13760-023-02170-9

[2]	Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches Acta Neurologica Belgica, 2023 DOI:10.1007/s13760-023-02170-9

[3]	Recent advancement in learning methodology for segmenting brain tumor from magnetic resonance imaging -a review Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-14857-5

[4]	A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions Health and Technology, 2023 DOI:10.1007/s12553-023-00737-3

[5]	Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches Acta Neurologica Belgica, 2023 DOI:10.1007/s13760-023-02170-9

[6]	Recent advancement in learning methodology for segmenting brain tumor from magnetic resonance imaging -a review Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-14857-5

[7]	Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata Journal of Medical Signals & Sensors, 2022 DOI:10.4103/jmss.jmss_128_21

[8]	Brain tumor detection and classification using machine learning: a comprehensive survey Complex & Intelligent Systems, 2022 DOI:10.1007/s40747-021-00563-y

[9]	Remodeling Forensic Skeletal Age 2021 DOI:10.1016/B978-0-12-824370-1.00001-8

[10]	Brain Tumor Segmentation using 3D U-Net with Hyperparameter Optimization 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2021 DOI:10.1109/NILES53778.2021.9600556

[11]	Tumor Doubling Time Using CT Volumetric Segmentation in Metastatic Adrenocortical Carcinoma Current Oncology, 2021 DOI:10.3390/curroncol28060370

[12]	Glioma Imaging 2020 DOI:10.1007/978-3-030-27359-0_4

[13]	A survey on brain tumor detection techniques for MR images Multimedia Tools and Applications, 2020 DOI:10.1007/s11042-020-08898-3

[14]	3D Visualization of Brain Tumors Using MR Images: A Survey Current Medical Imaging Formerly Current Medical Imaging Reviews, 2019 DOI:10.2174/1573405614666180111142055

[15]	Quantitative Volume Measurement of Brain Tumor for Treatment and Planning 2019 9th International Conference on Advances in Computing and Communication (ICACC), 2019 DOI:10.1109/ICACC48162.2019.8986174

[16]	A review on brain tumor segmentation of MRI images Magnetic Resonance Imaging, 2019 DOI:10.1016/j.mri.2019.05.043

[17]	Brain structural disorders detection and classification approaches: a review Artificial Intelligence Review, 2019 DOI:10.1007/s10462-019-09766-9

[18]	Review on 2D and 3D MRI Image Segmentation Techniques Current Medical Imaging Formerly Current Medical Imaging Reviews, 2019 DOI:10.2174/1573405613666171123160609

[19]	A 3-dimensional Brain Tumor Segmentation using Hybrid Intelligent Algorithms 2018 4th International Conference on Computing Communication and Automation (ICCCA), 2018 DOI:10.1109/CCAA.2018.8777718

[20]	A comprehensive review: Segmentation of MRI images-brain tumor International Journal of Imaging Systems and Technology, 2016 DOI:10.1002/ima.22201

[21]	Volumetric segmentation of brain tumor based on intensity features of multimodality magnetic resonance imaging 2015 International Conference on Computer, Communication and Control (IC4), 2015 DOI:10.1109/IC4.2015.7375550

[22]	Response Assessment and Magnetic Resonance Imaging Issues for Clinical Trials Involving High-Grade Gliomas Topics in Magnetic Resonance Imaging, 2015 DOI:10.1097/RMR.0000000000000054

[23]	Tumor volume fuzzification for intelligent cancer staging Applied Soft Computing, 2015 DOI:10.1016/j.asoc.2015.06.043

[24]	Emerging techniques and technologies in brain tumor imaging Neuro-Oncology, 2014 DOI:10.1093/neuonc/nou221

[25]	Tumor segmentation in brain MRI using a fuzzy approach with class center priors EURASIP Journal on Image and Video Processing, 2014 DOI:10.1186/1687-5281-2014-21

[26]	Good Mothers as Guest Workers International Journal of Sociology, 2014 DOI:10.2753/IJS0020-7659440301

[27]	State of the art survey on MRI brain tumor segmentation Magnetic Resonance Imaging, 2013 DOI:10.1016/j.mri.2013.05.002

[28]	3D Representation of Human Skull Bearing the Tumor Using Image Processing 2012 Fourth International Conference on Computational Intelligence, Communication Systems and Networks, 2012 DOI:10.1109/CICSyN.2012.55

[29]	3D Volume Representation of brain tumor using image processing 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2011 DOI:10.1109/ICSIPA.2011.6144062

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

Journals Menu

Home

About SCIRP

Service

Policies