A deep convolutional neural network for the detection of polyps in colonoscopy images-Reference-Cited by-同舟云学术

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A deep convolutional neural network for the detection of polyps in colonoscopy images

Published:2021-07 Issue: Volume:68 Page:102654
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Rahim Tariq,Hassan Syed Ali,Shin Soo Young

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference44 articles.

1. A Survey on Contemporary Computer-Aided Tumor, Polyp, and Ulcer Detection Methods in Wireless Capsule Endoscopy Imaging;Rahim,2019

2. Cancer statistics, 2018;Segal;CA Cancer J. Clin.,2018

3. Detecting, Localising and Classifying Polyps From Colonoscopy Videos Using Deep Learning;Tian,2021

4. Polyp follow-up in an intelligent wireless capsule endoscopy;Chuquimia,2019

5. Factors influencing the miss rate of polyps in a back-to-back colonoscopy study;Leufkens;Endoscopy,2012

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