A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set
Abstract
In this paper, we propose and validate a deep learning framework that incorporates both multi-atlas registration and level-set for segmenting pancreas from CT volume images. The proposed segmentation pipeline consists of three stages, namely coarse, fine, and refine stages. Firstly, a coarse segmentation is obtained through multi-atlas based 3D diffeomorphic registration and fusion. After that, to learn the connection feature, a 3D patch-based...
Paper Details
Title
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set
Published Date
Feb 1, 2021
Journal
Volume
68
Pages
101884 - 101884
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