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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Detaylı Bibliyografya
Yayımlandı:Sci Data
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2020
Konular:
Data Descriptor
Online Erişim: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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