Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hind...

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Detalles Bibliográficos
Autores principales: Bulten, Wouter, Kartasalo, Kimmo, Chen, Po-Hsuan Cameron, Ström, Peter, Pinckaers, Hans, Nagpal, Kunal, Cai, Yuannan, Steiner, David F., van Boven, Hester, Vink, Robert, Hulsbergen-van de Kaa, Christina, van der Laak, Jeroen, Amin, Mahul B., Evans, Andrew J., van der Kwast, Theodorus, Allan, Robert, Humphrey, Peter A., Grönberg, Henrik, Samaratunga, Hemamali, Delahunt, Brett, Tsuzuki, Toyonori, Häkkinen, Tomi, Egevad, Lars, Demkin, Maggie, Dane, Sohier, Tan, Fraser, Valkonen, Masi, Corrado, Greg S., Peng, Lily, Mermel, Craig H., Ruusuvuori, Pekka, Litjens, Geert, Eklund, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799467/
https://www.ncbi.nlm.nih.gov/pubmed/35027755
http://dx.doi.org/10.1038/s41591-021-01620-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799467/
https://www.ncbi.nlm.nih.gov/pubmed/35027755
http://dx.doi.org/10.1038/s41591-021-01620-2

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