Addressing class imbalance in deep learning for small lesion detection on medical images.

Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco

Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco.

Afiliação

Bria A; Department of Electrical and Information Engineering, University of Cassino and Southern Latium, Cassino, FR 03043, Italy. Electronic address: a.bria@unicas.it.
Marrocco C; Department of Electrical and Information Engineering, University of Cassino and Southern Latium, Cassino, FR 03043, Italy. Electronic address: c.marrocco@unicas.it.
Tortorella F; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, SA 84084, Italy. Electronic address: ftortorella@unisa.it.

Comput Biol Med ; 120: 103735, 2020 05.

Article em En | MEDLINE | ID: mdl-32250861

Assuntos

Aprendizado Profundo; Algoritmos; Redes Neurais de Computação

Palavras-chave

Class imbalance; Deep learning; Lesion detection; Microaneurysms; Microcalcifications

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Ano de publicação: 2020 Tipo de documento: Article

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