Medical Image Segmentation With Deep Atlas Prior

Organ segmentation from medical images is one of the most important pre-processing steps in computer-aided diagnosis, but it is a challenging task because of limited annotated data, low-contrast and non-homogenous textures. Compared with natural images, organs in the medical images have obvious anat...

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Veröffentlicht in:	IEEE transactions on medical imaging 2021-12, Vol.40 (12), p.3519-3530
Hauptverfasser:	Huang, Huimin, Zheng, Han, Lin, Lanfen, Cai, Ming, Hu, Hongjie, Zhang, Qiaowei, Chen, Qingqing, Iwamoto, Yutaro, Han, Xianhua, Chen, Yen-Wei, Tong, Ruofeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models adaptive bayesian loss Bayes methods Bayesian analysis Datasets deep atlas prior Deep learning Image contrast Image processing Image segmentation Mathematical models Medical diagnosis Medical diagnostic imaging Medical image segmentation Medical imaging probabilistic atlas Probabilistic logic Spleen Task analysis
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