Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets (2024)
- Authors:
- Autor USP: PARMEZAN, ANTONIO RAFAEL SABINO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s11042-023-16529-w
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE IMAGEM; DIAGNÓSTICO POR COMPUTADOR; NEOPLASIAS CUTÂNEAS
- Keywords: Feature learning; Few-shot learning; RMSprop; Shallow learning; Statistical test; VGG
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Multimedia Tools and Applications
- ISSN: 1380-7501
- Volume/Número/Paginação/Ano: v. 83, n. 9, p. 27305-27329, Mar. 2024
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SPOLAÔR, Newton et al. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, v. 83, n. 9, p. 27305-27329, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16529-w. Acesso em: 04 abr. 2026. -
APA
Spolaôr, N., Lee, H. D., Mendes, A. I., Nogueira, C. V., Parmezan, A. R. S., Takaki, W. S. R., et al. (2024). Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, 83( 9), 27305-27329. doi:10.1007/s11042-023-16529-w -
NLM
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2026 abr. 04 ] Available from: https://doi.org/10.1007/s11042-023-16529-w -
Vancouver
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2026 abr. 04 ] Available from: https://doi.org/10.1007/s11042-023-16529-w - Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors
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