ProtoAL: interpretable deep active learning with prototypes for medical imaging (2024)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SANTOS, IURY BATISTA DE ANDRADE - ICMC
- Unidade: ICMC
- Subjects: APRENDIZAGEM PROFUNDA; DIAGNÓSTICO POR COMPUTADOR; DIAGNÓSTICO POR IMAGEM
- Keywords: Deep Active Learning; Interpretability; Medical Imaging
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 1613-0073
- Conference titles: European Conference on Artificial Intelligence - ECAI
-
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: 12 fev. 2026. -
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.pdf -
NLM
Santos IB de A, Carvalho ACP de LF de. ProtoAL: interpretable deep active learning with prototypes for medical imaging [Internet]. Proceedings. 2024 ;[citado 2026 fev. 12 ] Available from: https://ceur-ws.org/Vol-3831/paper2.pdf -
Vancouver
Santos IB de A, Carvalho ACP de LF de. ProtoAL: interpretable deep active learning with prototypes for medical imaging [Internet]. Proceedings. 2024 ;[citado 2026 fev. 12 ] Available from: https://ceur-ws.org/Vol-3831/paper2.pdf - Neural architecture search with interpretable meta-features and fast predictors
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