Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

Semantic segmentation is important in medical image analysis. Inspired by the strong ability of traditional image analysis techniques in capturing shape priors and inter-subject similarity, many deep learning (DL) models have been recently proposed to exploit such prior information and achieved robu...

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Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 38 - 41
Hauptverfasser:	Xie, Cong, Liu, Hualuo, Cao, Shilei, Wei, Dong, Ma, Kai, Wang, Liansheng, Zheng, Yefeng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.04.2021
Schlagworte:	Analytical models Biological system modeling Deep learning Fuses Image analysis Image segmentation Inter-subject similarity Semantic segmentation Shape Shape priors
ISSN:	1945-8452
Online-Zugang:	Volltext
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