Paraspinal Muscle Segmentation in CT Images Using GSM-Based Fuzzy C-Means Clustering

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Paraspinal Muscle Segmentation in CT Images Using GSM-Based Fuzzy C-Means Clustering"
written by Yong Wei, Xiuping Tao, Bin Xu, Arend P. Castelein,
published by Journal of Computer and Communications, Vol.2 No.9, 2014

has been cited by the following article(s):

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[4]	Comparative study of deep learning segmentation models for body composition analysis in CT Scans
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[5]	CoreSlicer: a web toolkit for analytic morphomics
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[6]	Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis
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[7]	Two dimensional paraspinal muscle segmentation in CT images
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[8]	Body Composition Assessment in Axial CT Images using FEM-based Automatic Segmentation of Skeletal Muscle
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[9]	Paraspinal muscle segmentation in CT images using a single atlas
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[1]	Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Studies in Computational Intelligence, 2023 DOI:10.1007/978-3-031-19604-1_6

[2]	CoreSlicer: a web toolkit for analytic morphomics BMC Medical Imaging, 2019 DOI:10.1186/s12880-019-0316-6

[3]	Two dimensional paraspinal muscle segmentation in CT images 2017 International Conference on Progress in Informatics and Computing (PIC), 2017 DOI:10.1109/PIC.2017.8359531

[4]	Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle IEEE Transactions on Medical Imaging, 2016 DOI:10.1109/TMI.2015.2479252

[5]	Paraspinal muscle segmentation in CT images using a single atlas 2015 IEEE International Conference on Progress in Informatics and Computing (PIC), 2015 DOI:10.1109/PIC.2015.7489839