SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation

Spine parsing (i.e., multi-class segmentation of vertebrae and intervertebral discs (IVDs)) for volumetric magnetic resonance (MR) image plays a significant role in various spinal disease diagnoses and treatments of spine disorders, yet is still a challenge due to the inter-class similarity and intr...

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Vydané v:	IEEE transactions on medical imaging Ročník 40; číslo 1; s. 262 - 273
Hlavní autori:	Pang, Shumao, Pang, Chunlan, Zhao, Lei, Chen, Yangfan, Su, Zhihai, Zhou, Yujia, Huang, Meiyan, Yang, Wei, Lu, Hai, Feng, Qianjin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	3D segmentation Computed tomography Deep learning graph convolution Graph representations Graphical representations Image processing Image representation Image segmentation Intervertebral discs Learning systems Magnetic resonance imaging Medical treatment Semantics Spine Three-dimensional displays Two dimensional displays Vertebrae
ISSN:	0278-0062, 1558-254X, 1558-254X
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