Boundary Refinement Network for Colorectal Polyp Segmentation in Colonoscopy Images-Reference-Cited by-同舟云学术

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Boundary Refinement Network for Colorectal Polyp Segmentation in Colonoscopy Images

Published:2024 Issue: Volume:31 Page:954-958
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Yue Guanghui¹^ORCID,Li Yuanyan¹^ORCID,Jiang Wenchao²^ORCID,Zhou Wei³^ORCID,Zhou Tianwei⁴^ORCID

Affiliation:

1. School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China

2. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

3. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

4. College of Management, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10473150.pdf?arnumber=10473150

Reference36 articles.

1. Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer

2. Adenoma Detection Rate and Risk of Colorectal Cancer and Death

3. GNAS-U²Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search

4. HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT

5. Towards Accurate Medical Image Segmentation With Gradient-Optimized Dice Loss

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ALKU-Net: Adaptive Large Kernel Attention Convolution Network for Lung Nodule Segmentation;Electronics;2024-08-07

2. Progressive Feature Enhancement Network for Automated Colorectal Polyp Segmentation;IEEE Transactions on Automation Science and Engineering;2024

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