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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
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 |
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