Dynamic Weighting Translation Transfer Learning for Imbalanced Medical Image Classification

Medical image diagnosis using deep learning has shown significant promise in clinical medicine. However, it often encounters two major difficulties in real-world applications: (1) domain shift, which invalidates the trained model on new datasets, and (2) class imbalance problems leading to model bia...

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Detalles Bibliográficos

Principais autores:	Chenglin Yu, Hailong Pei
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-05-01
Series:	Entropy
Assuntos:	imbalanced medical image classification class distribution entropy transfer learning dynamic weighting cycle translation confidence-based selection
Acceso en liña:	https://www.mdpi.com/1099-4300/26/5/400
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