Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy-Reference-Cited by-同舟云学术

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Published:2021-05 Issue: Volume:70 Page:102002
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Ali Sharib^ORCID,Dmitrieva Mariia,Ghatwary Noha,Bano Sophia,Polat Gorkem^ORCID,Temizel Alptekin^ORCID,Krenzer Adrian^ORCID,Hekalo Amar^ORCID,Guo Yun Bo^ORCID,Matuszewski Bogdan^ORCID,Gridach Mourad^ORCID,Voiculescu Irina^ORCID,Yoganand Vishnusai,Chavan Arnav^ORCID,Raj Aryan^ORCID,Nguyen Nhan T.,Tran Dat Q.,Huynh Le Duy,Boutry Nicolas,Rezvy Shahadate^ORCID,Chen Haijian,Choi Yoon Ho,Subramanian Anand^ORCID,Balasubramanian Velmurugan,Gao Xiaohong W.,Hu Hongyu^ORCID,Liao Yusheng,Stoyanov Danail,Daul Christian,Realdon Stefano,Cannizzaro Renato^ORCID,Lamarque Dominique,Tran-Nguyen Terry,Bailey Adam,Braden Barbara^ORCID,East James E.,Rittscher Jens

Funder

Manchester Biomedical Research Centre

Engineering and Physical Sciences Research Council

Ludwig Institute for Cancer Research

National Institute for Health Research

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

Reference95 articles.

1. Artificial intelligence-driven real-time 3D surface quantification of barrett’s oesophagus for risk stratification and therapeutic response monitoring;Ali;medRxiv,2020

2. Endoscopy disease detection challenge 2020;Ali;CoRR,2020

3. A deep learning framework for quality assessment and restoration in video endoscopy;Ali;Med. Image Anal.,2021

4. An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy;Ali;Sci. Rep.,2020

5. Endoscopy artifact detection (EAD 2019) challenge dataset;Ali;arXiv preprint arXiv:1905.03209,2019

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