Multi-View Convolutional Neural Networks for Mammographic Image Classification

In recent years, deep learning has been widely applied for mammographic image classification. However, most of the existing methods are based on a single mammography view and cannot sufficiently extract discriminative features, thereby resulting in an unsatisfactory classification accuracy. To solve...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.126273-126282
Hauptverfasser:	Sun, Lilei, Wang, Junqian, Hu, Zhijun, Xu, Yong, Cui, Zhongwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Breast cancer Classification convolutional neural network Data mining Deep learning Digital imaging Feature extraction Feature maps Image acquisition Image analysis Image classification Machine learning mammographic image Medical image processing Neural networks Support vector machines
Online-Zugang:	Volltext
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