Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Havard D; Johansen, Dag; Rittscher, Jens; Riegler, Michael A; Halvorsen, Pal

Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Havard D; Johansen, Dag; Rittscher, Jens; Riegler, Michael A; Halvorsen, Pal.

Afiliación

Jha D; SimulaMet0167OsloNorway.
Ali S; Department of Engineering ScienceBig Data Institute, University of OxfordOxfordOX3 7XFU.K.
Tomar NK; Department of Engineering ScienceBig Data Institute, University of OxfordOxfordOX3 7XFU.K.
Johansen HD; Oxford NIHR Biomedical Research CentreOxfordOX4 2PGvU.K.
Johansen D; SimulaMet0167OsloNorway.
Rittscher J; Department of Computer ScienceUiT-The Arctic University of Norway9037TromsøNorway.
Riegler MA; Department of Computer ScienceUiT-The Arctic University of Norway9037TromsøNorway.
Halvorsen P; Department of Engineering ScienceBig Data Institute, University of OxfordOxfordOX3 7XFU.K.

IEEE Access ; 9: 40496-40510, 2021.

Article en En | MEDLINE | ID: mdl-33747684

Palabras clave

ColonSegNet; Kvasir-SEG; Medical image segmentation; benchmarking; colonoscopy; deep learning; detection; localisation; polyps

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: IEEE Access Año: 2021 Tipo del documento: Article

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