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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書誌詳細
出版年:Sci Data
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
主題:
Data Descriptor
オンライン･アクセス: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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