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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

2020

Published in

Scientific Data

ISSN

2052-4463

Publisher

Springer Nature

Volume

7

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