Convolutional Autoencoder Application for Breast Cancer Classification

There are many related works for breast cancer detection using convolutional neural networks (CNN), and most of them rely only on feature extraction after the convolutions. However, because of the huge number of parameters in the models, the time of computation will be increased. In the current work...

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Veröffentlicht in:	2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) S. 1 - 4
Hauptverfasser:	Naderan, Maryam, Zaychenko, Yuri
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.10.2020
Schlagworte:	Breast cancer Breast Cancer Detection Computational modeling Convolutional Autoencoder Convolutional neural networks Data models Deep Learning Algorithm DenseNet Network Feature extraction Image Classification Image reconstruction Sensitivity
Online-Zugang:	Volltext
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