A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging-Reference-Cited by-同舟云学术

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Published:2021-05 Issue: Volume:70 Page:102007
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Jha Debesh,Ali Sharib^ORCID,Hicks Steven,Thambawita Vajira^ORCID,Borgli Hanna^ORCID,Smedsrud Pia H.,de Lange Thomas^ORCID,Pogorelov Konstantin^ORCID,Wang Xiaowei,Harzig Philipp,Tran Minh-Triet,Meng Wenhua,Hoang Trung-Hieu,Dias Danielle^ORCID,Ko Tobey H.^ORCID,Agrawal Taruna,Ostroukhova Olga^ORCID,Khan Zeshan^ORCID,Atif Tahir Muhammad^ORCID,Liu Yang^ORCID,Chang Yuan^ORCID,Kirkerød Mathias^ORCID,Johansen Dag^ORCID,Lux Mathias,Johansen Håvard D.^ORCID,Riegler Michael A.,Halvorsen Pål

Funder

National Institute for Health Research

Norges Forskningsråd

Cystinosis Research Network

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference82 articles.

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4. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy;Ali;Med. Image Anal.,2021

5. Ali, S., et al., 2019. Endoscopy artifact detection (EAD 2019) challenge dataset. arXiv:1905.03209.

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