Deep learning–powered generation of artificial endoscopic images of GI tract ulcers-Reference-Cited by-同舟云学术

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Deep learning–powered generation of artificial endoscopic images of GI tract ulcers

Published:2023-12 Issue:4 Volume:2 Page:452-463.e2
ISSN:2949-7086
Container-title:iGIE
language:en
Short-container-title:iGIE

Author:

Bajhaiya Deepak^ORCID,Unni Sujatha Narayanan,Koushik A.K.

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference40 articles.

1. Peptic ulcer disease;Lanas;Lancet,2017

2. Intrinsic higher-order correlation and lacunarity analysis for WCE-based ulcer classification;Charisis,2012

3. Quality of care of peptic ulcer disease worldwide: a systematic analysis for the Global Burden of Disease study 1990-2019;Abbasi-Kangevari;PloS One,2022

4. Epidemiology of gastric cancer: global trends, risk factors and prevention;Rawla;Gastroenterol Rev,2019

5. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis;Arbyn;Lancet Glob Health,2020

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1. Molecular Biomarkers for Personalized Diagnosis and Treatment of Gastric Cancer Using Deep Learning Techniques;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. Convolution Neural Network for Gastrointestinal Cancer Detection and Classification using Deep Learning;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17

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