Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation
Author:
Affiliation:
1. College of Biomedical Engineering, South-Central Minzu University, Wuhan, P. R. China
2. Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, P. R. China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2151186
Reference38 articles.
1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
2. Bilic, P., Christ, P.F. et al . 2022. The liver tumor segmentation benchmark (lits). arXiv preprint arXiv:1901.04056.
3. Automatic multi-resolution shape modeling of multi-organ structures
4. Liver Segmentation on CT and MR Using Laplacian Mesh Optimization
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