Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation-Reference-Cited by-同舟云学术

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Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation

Published:2024-09 Issue: Volume:249 Page:123856
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yang Zefan^ORCID,Lin Di,Ni Dong,Wang Yi^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference60 articles.

1. Fast fully automatic segmentation of the human placenta from motion corrupted MRI;Alansary,2016

2. Clinical target-volume delineation in prostate brachytherapy using residual neural networks;Anas,2017

3. Multi-dimensional gated recurrent units for the segmentation of biomedical 3D-data;Andermatt,2016

4. Abdominal organ segmentation via deep diffeomorphic mesh deformations;Bongratz;Scientific Reports,2023

5. A computational approach to edge detection;Canny;IEEE Transactions on Pattern Analysis and Machine Intelligence,1986

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