HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
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Category
Academic article
Language
English
Author(s)
- Hanna Borgli
- Vajira Lasantha Bandara Thambawita
- Pia Smedsrud
- Steven Hicks
- Debesh Jha
- Sigrun Losada Eskeland
- Kristin Ranheim Randel
- Konstantin Pogorelov
- Mathias Lux
- Duc Tien Dang Nguyen
- Dag Johansen
- Carsten Griwodz
- Håkon Kvale Stensland
- Enrique Garcia-Ceja
- Peter T Schmidt
- Hugo Lewi Hammer
- Michael Riegler
- Pål Halvorsen
- Thomas de Lange
Affiliation
- University of Oslo
- Simula Metropolitan Center for Digital Engineering
- OsloMet - Oslo Metropolitan University
- Augere Medical AS
- UiT The Arctic University of Norway
- Vestre Viken Hospital Trust
- The Cancer Registry of Norway
- Simula Research Laboratory
- University of Klagenfurt (AAU)
- University of Bergen
- SINTEF Digital / Sustainable Communication Technologies
- Karolinska Institutet
- Sahlgrenska University Hospital
Year
2020Published in
Scientific Data
ISSN
2052-4463
Publisher
Springer Nature
Volume
7