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Deep Learning Techniques for Improving Breast Cancer Detection and Diagnosis


Affiliations
1 Department of Information Systems center Egyptian Organization for Standardization & Quality, Egypt
 

In this paper, we aim to introduce a survey on the applications of deep learning for breast cancer detection and diagnosis to provide an overview of the progress in this field. In the survey, we firstly provide an overview on deep learning and the popular architectures used for breast cancer detection and diagnosis. Especially we present four popular deep learning architectures, including convolutional neural networks, fully convolutional networks, auto encoders, and deep belief networks in the survey. Secondly, we provide a survey on the studies exploiting deep learning for breast cancer detection and diagnosis.



Keywords

Deep Learning (DL), Breast Cancer, Breast Cancer Detection.
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  • Deep Learning Techniques for Improving Breast Cancer Detection and Diagnosis

Abstract Views: 161  |  PDF Views: 1

Authors

Amira Hassan Abed
Department of Information Systems center Egyptian Organization for Standardization & Quality, Egypt

Abstract


In this paper, we aim to introduce a survey on the applications of deep learning for breast cancer detection and diagnosis to provide an overview of the progress in this field. In the survey, we firstly provide an overview on deep learning and the popular architectures used for breast cancer detection and diagnosis. Especially we present four popular deep learning architectures, including convolutional neural networks, fully convolutional networks, auto encoders, and deep belief networks in the survey. Secondly, we provide a survey on the studies exploiting deep learning for breast cancer detection and diagnosis.



Keywords


Deep Learning (DL), Breast Cancer, Breast Cancer Detection.

References