Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers.

Lituiev, Dmytro S; Trivedi, Hari; Panahiazar, Maryam; Norgeot, Beau; Seo, Youngho; Franc, Benjamin; Harnish, Roy; Kawczynski, Michael; Hadley, Dexter

Lituiev, Dmytro S; Trivedi, Hari; Panahiazar, Maryam; Norgeot, Beau; Seo, Youngho; Franc, Benjamin; Harnish, Roy; Kawczynski, Michael; Hadley, Dexter.

Afiliación

Lituiev DS; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA.
Trivedi H; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA.
Panahiazar M; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA.
Norgeot B; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA.
Seo Y; Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94143-0946, USA.
Franc B; Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94143-0946, USA.
Harnish R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94143-0946, USA.
Kawczynski M; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA.
Hadley D; Institute for Computational Health Sciences, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA. dexter.hadley@ucsf.edu.

J Digit Imaging ; 32(2): 228-233, 2019 04.

Article en En | MEDLINE | ID: mdl-30465142

Asunto(s)

Neoplasias de la Mama/diagnóstico por imagen; Aprendizaje Automático; Mamografía/clasificación; Mamografía/métodos; Automatización; Conjuntos de Datos como Asunto; Femenino; Humanos; Sistemas de Información Radiológica; Sensibilidad y Especificidad

Palabras clave

Convolutional neural networks; DICOM; Machine learning; Mammography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Mamografía / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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