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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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Detalhes bibliográficos
Publicado no:Sci Data
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7455694/
https://ncbi.nlm.nih.gov/pubmed/32859981
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-020-00622-y
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