Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Author:
Affiliation:
1. Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, South Korea
2. College of Engineering and Science, Victoria University, Melbourne, VIC, Australia
Funder
National Research Foundation of Korea
Korea Government
Institute of Information and Communications Technology Planning and Evaluation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10092740.pdf?arnumber=10092740
Reference49 articles.
1. Multi-Scale Self-Guided Attention for Medical Image Segmentation
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4. U-Net: Convolutional Networks for Biomedical Image Segmentation
5. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
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