Assessing generalisability of deep learning-based polyp detection and segmentation methods through a...
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
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Author / Creator
Ali, Sharib , Ghatwary, Noha , Jha, Debesh , Isik-Polat, Ece , Polat, Gorkem , Yang, Chen , Li, Wuyang , Galdran, Adrian , Ballester, Miguel-Ángel González , Thambawita, Vajira , Hicks, Steven , Poudel, Sahadev , Lee, Sang-Woong , Jin, Ziyi , Gan, Tianyuan , Yu, ChengHui , Yan, JiangPeng , Yeo, Doyeob , Lee, Hyunseok , Tomar, Nikhil Kumar , Haithami, Mahmood , Ahmed, Amr , Riegler, Michael A. , Daul, Christian , Halvorsen, Pål , Rittscher, Jens , Salem, Osama E. , Lamarque, Dominique , Cannizzaro, Renato , Realdon, Stefano , de Lange, Thomas and East, James E.
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly operator-dependent procedures and occur in a highly complex organ topology. There exists a high missed detectio...
Alternative Titles
Full title
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Authors, Artists and Contributors
Author / Creator
Ghatwary, Noha
Jha, Debesh
Isik-Polat, Ece
Polat, Gorkem
Yang, Chen
Li, Wuyang
Galdran, Adrian
Ballester, Miguel-Ángel González
Thambawita, Vajira
Hicks, Steven
Poudel, Sahadev
Lee, Sang-Woong
Jin, Ziyi
Gan, Tianyuan
Yu, ChengHui
Yan, JiangPeng
Yeo, Doyeob
Lee, Hyunseok
Tomar, Nikhil Kumar
Haithami, Mahmood
Ahmed, Amr
Riegler, Michael A.
Daul, Christian
Halvorsen, Pål
Rittscher, Jens
Salem, Osama E.
Lamarque, Dominique
Cannizzaro, Renato
Realdon, Stefano
de Lange, Thomas
East, James E.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3d626e6de5c5444f94dfea2e49ff5ee3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d626e6de5c5444f94dfea2e49ff5ee3
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-52063-x
