Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images-Reference-Cited by-同舟云学术

Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images

Published:2023-07 Issue:7 Volume:27 Page:3360-3371
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yue Guanghui¹^ORCID,Zhuo Guibin¹,Li Siying¹^ORCID,Zhou Tianwei²^ORCID,Du Jingfeng³^ORCID,Yan Weiqing⁴^ORCID,Hou Jingwen⁵^ORCID,Liu Weide⁶,Wang Tianfu¹^ORCID

Affiliation:

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

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

3. Shenzhen University General Hospital, Shenzhen University, Shenzhen, China

4. School of Computer and Control Engineering, Yantai University, Yantai, China

5. School of Computer Science and Engineering, Nanyang Technological University, Singapore

6. Institute for Infocomm Research, A*STAR, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10171108/10109024.pdf?arnumber=10109024

Reference72 articles.

1. Analysis of spectral reflectance of mucous membrane for endoscopic diagnosis

2. Shallow Attention Network for Polyp Segmentation

3. Kvasir-SEG: A segmented polyp dataset;jha;Proc Int Conf Multimedia Model,0

4. HarDNet-MSEG: A simple encoder-decoder polyp segmentation neural network that achieves over 0.9 mean dice and 86 FPS;huang,2021

5. Detection of Polyps in Colonoscopic Videos Using Saliency Map-Based Modified Particle Filter

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