Deep convolutional neural networks for mammography: advances, challenges and applications

BACKGROUND: The limitations of traditional computer-aided detection (CAD) systems for mammography, the extreme importance of early detection of breast cancer and the high impact of the false diagnosis of patients drive researchers to investigate deep learning (DL) methods for mammograms (MGs). Recen...

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Detalles Bibliográficos
Autores principales: Abdelhafiz, Dina, Yang, Clifford, Ammar, Reda, Nabavi, Sheida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551243/
https://www.ncbi.nlm.nih.gov/pubmed/31167642
http://dx.doi.org/10.1186/s12859-019-2823-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551243/
https://www.ncbi.nlm.nih.gov/pubmed/31167642
http://dx.doi.org/10.1186/s12859-019-2823-4

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