ProtoAL: interpretable deep active learning with prototypes for medical imaging (2024)
Fonte: Proceedings. Nome do evento: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC
Assuntos: APRENDIZAGEM PROFUNDA, DIAGNÓSTICO POR COMPUTADOR, DIAGNÓSTICO POR IMAGEM
ABNT
SANTOS, Iury Batista de Andrade e CARVALHO, Andre Carlos Ponce de Leon Ferreira de. ProtoAL: interpretable deep active learning with prototypes for medical imaging. 2024, Anais.. Aachen: CEUR-WS, 2024. Disponível em: https://ceur-ws.org/Vol-3831/paper2.pdf. Acesso em: 25 nov. 2025.APA
Santos, I. B. de A., & Carvalho, A. C. P. de L. F. de. (2024). ProtoAL: interpretable deep active learning with prototypes for medical imaging. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-3831/paper2.pdfNLM
Santos IB de A, Carvalho ACP de LF de. ProtoAL: interpretable deep active learning with prototypes for medical imaging [Internet]. Proceedings. 2024 ;[citado 2025 nov. 25 ] Available from: https://ceur-ws.org/Vol-3831/paper2.pdfVancouver
Santos IB de A, Carvalho ACP de LF de. ProtoAL: interpretable deep active learning with prototypes for medical imaging [Internet]. Proceedings. 2024 ;[citado 2025 nov. 25 ] Available from: https://ceur-ws.org/Vol-3831/paper2.pdf

