View-collaborative fuzzy soft subspace clustering for automatic medical image segmentation

With the rapid development of medical imaging methodologies, such as magnetic resonance (MR) and positron emission tomography (PET)/MR, various types of MR images, which are acquired using inconsistent MR pulse sequences on the same patient, have been applied in medical-image-based diagnoses. A feat...

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Vydáno v:	Multimedia tools and applications Ročník 79; číslo 13-14; s. 9523 - 9542
Hlavní autoři:	Zhao, Kaifa, Jiang, Yizhang, Xia, Kaijian, Zhou, Leyuan, Chen, Yangyang, Xu, Ke, Qian, Pengjiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.04.2020 Springer Nature B.V
Témata:	Algorithms Clustering Collaboration Computer Communication Networks Computer Science Data Structures and Information Theory Feature extraction Feature maps Image acquisition Image segmentation Machine learning Magnetic resonance imaging Medical imaging Multimedia Information Systems Positron emission Special Purpose and Application-Based Systems Subspaces Tomography Collaborative learning Multiview clustering Soft subspace clustering Medical image segmentation
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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