A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set

• Published in: Medical image analysis Vol. 68; p. 101884
• Main Authors: Zhang, Yue, Wu, Jiong, Liu, Yilong, Chen, Yifan, Chen, Wei, Wu, Ed. X., Li, Chunming, Tang, Xiaoying
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2021; Elsevier BV
• Subjects: Algorithms; Artificial neural networks; Computed tomography; Datasets; Deep learning; Image processing; Image segmentation; Information processing; Level-set; Machine learning; Multi-atlas registration; Neural networks; Pancreas; Pancreas segmentation; Registration; Deep learning; Multi-atlas registration; Level-set; Pancreas segmentation

•Segmentation model based on 3D location, contextual, shape and edge information.•Multi-atlas based 3D diffeomorphic registration and fusion.•Joint 2D + 3D deep learning strategy•3D level-set integrating fuzzy c-means. [Display omitted] In this paper, we propose and validate a deep learning framewor...