HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually label training data. These constraints make it difficult to develop system...

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Detalles Bibliográficos
Autores principales: Borgli, Hanna, Thambawita, Vajira, Smedsrud, Pia H., Hicks, Steven, Jha, Debesh, Eskeland, Sigrun L., Randel, Kristin Ranheim, Pogorelov, Konstantin, Lux, Mathias, Nguyen, Duc Tien Dang, Johansen, Dag, Griwodz, Carsten, Stensland, Håkon K., Garcia-Ceja, Enrique, Schmidt, Peter T., Hammer, Hugo L., Riegler, Michael A., Halvorsen, Pål, de Lange, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455694/
https://www.ncbi.nlm.nih.gov/pubmed/32859981
http://dx.doi.org/10.1038/s41597-020-00622-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455694/
https://www.ncbi.nlm.nih.gov/pubmed/32859981
http://dx.doi.org/10.1038/s41597-020-00622-y

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