Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" (2024)
- Authors:
- Autor USP: LEITE, KATIA RAMOS MOREIRA - FM
- Unidade: FM
- DOI: 10.1016/j.modpat.2024.100563
- Subjects: APRENDIZAGEM PROFUNDA; PATOLOGIA; INTELIGÊNCIA ARTIFICIAL
- Agências de fomento:
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
03. Saúde e bem-estar
- Imprenta:
- Source:
- Título: Modern Pathology
- ISSN: 0893-3952
- Volume/Número/Paginação/Ano: v. 37, n. 11, article ID 100563, 11p, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FARYNA, Khrystyna et al. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"". Modern Pathology, v. 37, n. 11, 2024Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/79426. Acesso em: 27 jan. 2026. -
APA
Faryna, K., Tessier, L., Retamero, J., Bonthu, S., Samanta, P., Singhal, N., et al. (2024). Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"". Modern Pathology, 37( 11). doi:10.1016/j.modpat.2024.100563 -
NLM
Faryna K, Tessier L, Retamero J, Bonthu S, Samanta P, Singhal N, Kammerer-jacquet S-F, Radulescu C, Agosti V, Leite KRM. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" [Internet]. Modern Pathology. 2024 ; 37( 11):[citado 2026 jan. 27 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79426 -
Vancouver
Faryna K, Tessier L, Retamero J, Bonthu S, Samanta P, Singhal N, Kammerer-jacquet S-F, Radulescu C, Agosti V, Leite KRM. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" [Internet]. Modern Pathology. 2024 ; 37( 11):[citado 2026 jan. 27 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79426 - Is prostate infarction and acute urinary retention a possible complication of severe COVID-19 infection?[Carta]
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Informações sobre o DOI: 10.1016/j.modpat.2024.100563 (Fonte: oaDOI API)
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