ContourNet—An Automated Segmentation Framework for Detection of Colonic Polyps-Reference-Cited by-同舟云学术

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ContourNet—An Automated Segmentation Framework for Detection of Colonic Polyps

Published:2024 Issue: Volume:12 Page:58887-58897
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pathan Sameena¹^ORCID,Somayaji Yashodhara¹,Ali Tanweer²^ORCID,Varsha Modha¹^ORCID

Affiliation:

1. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. Department of Electronics and Communication, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10507821.pdf?arnumber=10507821

Reference31 articles.

1. Global cancer statistics, 2012

2. Artificial intelligence-assisted colonoscopy: A review of current state of practice and research

3. Prevalence and risk factors for colorectal polyps in a Chinese population: a retrospective study

4. An unsupervised approach of colonic polyp segmentation using adaptive markov random fields

5. Automatic segmentation of colorectal polyps based on a novel and innovative convolutional neural network approach;Tashk;WSEAS Trans. Syst. Control,2020

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