Boundary-Sensitive Segmentation of Small Liver Lesions-Reference-Cited by-同舟云学术

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Boundary-Sensitive Segmentation of Small Liver Lesions

Published:2024-05 Issue:5 Volume:28 Page:2991-3002
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wei Tao¹^ORCID,Wang Yiqi²^ORCID,Zhang Yuqiang²^ORCID,Wang Yunfu³^ORCID,Zhao Liang⁴^ORCID

Affiliation:

1. School of Computing and Electronic Informatics, Guangxi University, Nanning, China

2. Taihe Hospital, Hubei University of Medicine, Shiyan, China

3. Taihe Hospital/Hubei Key Laboratory of Embryonic Stem Cell Research, Hubei University of Medicine, Shiyan, China

4. Taihe Hospital/Hubei Key Laboratory of Embryonic Stem Cell Research/Hubei Provincial Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Hubei University of Medicine, Shiyan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Advantages Discipline Group Project in Higher Education of Hubei Province

Open Project of Hubei Provincial Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10465247.pdf?arnumber=10465247

Reference37 articles.

1. Burden of liver diseases in the world

2. A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images

3. TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images

4. Camouflaged Object Detection

5. Concealed Object Detection

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