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A multi-centre poly...
A multi-centre polyp detection and segmentation dataset for generalisability assessment.
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Ali, Sharib (author)
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Jha, Debesh (author)
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Ghatwary, Noha (author)
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Realdon, Stefano (author)
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Cannizzaro, Renato (author)
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Salem, Osama E (author)
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Lamarque, Dominique (author)
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Daul, Christian (author)
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Riegler, Michael A (author)
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Anonsen, Kim V (author)
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Petlund, Andreas (author)
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Halvorsen, Pål (author)
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Rittscher, Jens (author)
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- de Lange, Thomas, 1960 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine
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East, James E (author)
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(creator_code:org_t)
- 2023-02-06
- 2023
- English.
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In: Scientific data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main issue is that they are not tested rigorously on a large multicentre purpose-built dataset, one reason being the lack of a comprehensive public dataset. As a result, the developed methods may not generalise to different population datasets. To this extent, we have curated a dataset from six unique centres incorporating more than 300 patients. The dataset includes both single frame and sequence data with 3762 annotated polyp labels with precise delineation of polyp boundaries verified by six senior gastroenterologists. To our knowledge, this is the most comprehensive detection and pixel-level segmentation dataset (referred to as PolypGen) curated by a team of computational scientists and expert gastroenterologists. The paper provides insight into data construction and annotation strategies, quality assurance, and technical validation.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Gastroenterologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Humans
- Colonic Neoplasms
- Colonic Polyps
- diagnosis
- Colonoscopy
- methods
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Ali, Sharib
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Jha, Debesh
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Ghatwary, Noha
-
Realdon, Stefano
-
Cannizzaro, Rena ...
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Salem, Osama E
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show more...
-
Lamarque, Domini ...
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Daul, Christian
-
Riegler, Michael ...
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Anonsen, Kim V
-
Petlund, Andreas
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Halvorsen, Pål
-
Rittscher, Jens
-
de Lange, Thomas ...
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East, James E
-
show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Gastroenterology ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Science ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Vision ...
- Articles in the publication
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Scientific data
- By the university
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University of Gothenburg