Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review
作者： Vasudevan Lakshminarayanan , María José Rodríguez-Álvarez , Yuliana Jiménez-Gaona
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摘要: This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances computer-aided (CAD) systems, which make use new methods to automatically recognize images improve accuracy made by radiologists. is based upon published past decade (January 2010 January 2020). The main findings classification process reveal that DL-CAD are useful effective screening tools for cancer, thus reducing need manual feature extraction. research community can utilize this survey as basis their current future studies.
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