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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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書目詳細資料
發表在:BMC Bioinformatics
Main Authors: Abdelhafiz, Dina, Yang, Clifford, Ammar, Reda, Nabavi, Sheida
格式: Artigo
語言:Inglês
出版: BioMed Central 2019
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6551243/
https://ncbi.nlm.nih.gov/pubmed/31167642
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2823-4
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