Convolutional neural network for automated mass segmentation in mammography.

Abdelhafiz, Dina; Bi, Jinbo; Ammar, Reda; Yang, Clifford; Nabavi, Sheida

Abdelhafiz, Dina; Bi, Jinbo; Ammar, Reda; Yang, Clifford; Nabavi, Sheida.

Afiliación

Abdelhafiz D; Department of Computer Science and Engineering, University of Connecticut, Storrs, 06269, CT, USA.
Bi J; The Informatics Research Institute (IRI), City of Scientific Research and Technological Applications (SRTA-City), Alexandria, Egypt.
Ammar R; Department of Computer Science and Engineering, University of Connecticut, Storrs, 06269, CT, USA.
Yang C; Department of Computer Science and Engineering, University of Connecticut, Storrs, 06269, CT, USA.
Nabavi S; Departments of Diagnostic Imaging, University of Connecticut Health Center, Farmington, 06030, CT, USA.

BMC Bioinformatics ; 21(Suppl 1): 192, 2020 Dec 09.

Article en En | MEDLINE | ID: mdl-33297952

Asunto(s)

Procesamiento de Imagen Asistido por Computador/métodos; Mamografía; Redes Neurales de la Computación; Automatización; Bases de Datos Factuales; Humanos

Palabras clave

Breast cancer; Computer-aided detection (CAD); Convolutional neural networks (CNNs); Deep learning (DL); Detection; Ground truth maps (GTMs); Localization; Machine learning (ML); Mammograms (MGs); Pre-processing; Region growing; SegNet; Semantic pixel-wise segmentation; U-Net; Vanilla U-Net

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Mamografía / Redes Neurales de la Computación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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