PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images-Reference-Cited by-同舟云学术

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PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images

Published:2021-01 Issue: Volume:128 Page:104119
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Mahmud Tanvir^ORCID,Paul Bishmoy,Fattah Shaikh Anowarul

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. Colorectal cancer statistics, 2020;Siegel;CA: A Canc. J. Clin.,2020

2. Cancer statistics, 2019;Siegel;CA: A Canc. J. Clin.,2019

3. A retrospective study on endoscopic missing diagnosis of colorectal polyp and its related factors;Lou;Turk. J. Gastroenterol.,2014

4. Adenoma detection rate and risk of colorectal cancer and death;Corley;N. Engl. J. Med.,2014

5. Colonoscopic withdrawal technique is associated with adenoma miss rates;Rex;Gastrointest. Endosc.,2000

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