Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning-Reference-Cited by-同舟云学术

Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning

Published:2023 Issue: Volume:11 Page:50025-50037
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Huang Qi-Xian¹^ORCID,Lin Guo-Shiang²,Sun Hung-Min³^ORCID

Affiliation:

1. Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan

2. Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung, Taiwan

3. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

Funder

Chang Bing Show-Chwan Memorial Hospital Institute

Ministry of Science and Technology, Taiwan

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/ielx7/6287639/10005208/10128702.pdf?arnumber=10128702

Reference52 articles.

1. Effect of Various Image Information in Polyp Classification by Deeping Learning with Small Dataset

2. Transfer Learning-Based Classification of Gastrointestinal Polyps

3. Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning

4. Effective representation learning via the integrated self-supervised pre-training models of StyleGAN2-ADA and DINO for colonoscopy images;kim;BioRxiv,2022

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