BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images
Author:
Affiliation:
1. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
2. Shanghai United Imaging Intelligence Company Ltd., Shanghai, China
3. Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia
Funder
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
The Key Research and Development Program of Guangdong Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10091712/09966840.pdf?arnumber=9966840
Reference67 articles.
1. Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach
2. Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
3. Deep Small Bowel Segmentation with Cylindrical Topological Constraints
4. Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation
5. Automatic Segmentation of Colon in 3D CT Images and Removal of Opacified Fluid Using Cascade Feed Forward Neural Network
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