Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.

Clancy, Kadie; Aboutalib, Sarah; Mohamed, Aly; Sumkin, Jules; Wu, Shandong

Clancy, Kadie; Aboutalib, Sarah; Mohamed, Aly; Sumkin, Jules; Wu, Shandong.

Afiliación

Clancy K; Department of Computer Science, University of Pittsburgh, 3240 Craft Place, Pittsburgh, PA, 15213, USA.
Aboutalib S; Department of Biomedical Informatics, University of Pittsburgh, 3240 Craft Place, Pittsburgh, PA, 15213, USA.
Mohamed A; Department of Radiology, University of Pittsburgh, 3240 Craft Place, Rm. 322, Pittsburgh, PA, 15213, USA.
Sumkin J; Department of Radiology, University of Pittsburgh, 3240 Craft Place, Rm. 322, Pittsburgh, PA, 15213, USA.
Wu S; Department of Biomedical Informatics, University of Pittsburgh, 3240 Craft Place, Pittsburgh, PA, 15213, USA. wus3@upmc.edu.

J Digit Imaging ; 33(5): 1257-1265, 2020 10.

Article en En | MEDLINE | ID: mdl-32607908

Asunto(s)

Neoplasias de la Mama; Aprendizaje Profundo; Neoplasias de la Mama/diagnóstico por imagen; Humanos; Mamografía; Redes Neurales de la Computación; Estudios Retrospectivos

Palabras clave

Breast cancer; Deep learning; Digital mammography; Training strategy; Transfer learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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