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http://dx.doi.org/10.22937/IJCSNS.2021.21.6.14

Breast Cancer Classification Using Convolutional Neural Network  

Alshanbari, Eman (Umm Al-Qura University, Department of Computer Science)
Alamri, Hanaa (Umm Al-Qura University, Department of Computer Science)
Alzahrani, Walaa (Umm Al-Qura University, Department of Computer Science)
Alghamdi, Manal (Umm Al-Qura University, Department of Computer Science)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.6, 2021 , pp. 101-106 More about this Journal
Abstract
Breast cancer is the number one cause of deaths from cancer in women, knowing the type of breast cancer in the early stages can help us to prevent the dangers of the next stage. The performance of the deep learning depends on large number of labeled data, this paper presented convolutional neural network for classification breast cancer from images to benign or malignant. our network contains 11 layers and ends with softmax for the output, the experiments result using public BreakHis dataset, and the proposed methods outperformed the state-of-the-art methods.
Keywords
Breast cancer; Convolutional Neural Network; medical image; classification;
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