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Title |
Breast Cancer Classification Using Convolutional Neural Network |
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Author |
Eman Alshanbari, Hanaa Alamri, Walaa Alzahrani, and Dr.Manal Alghamdi |
| Citation |
Vol. 21 No. 6 pp. 101-106 |
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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. |
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Keywords |
Breast cancer; Convolutional Neural Network; medical image; classification. |
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