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文章基本信息

  • 标题:Automated Classification of Breast Cancer Histology Images Using Deep Learning Based Convolutional Neural Networks
  • 本地全文:下载
  • 作者:Majid Ali Nawaz ; Adel A. Sewissy ; Taysir Hassan A. Soliman
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2018
  • 卷号:18
  • 期号:4
  • 页码:152-160
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Automated classification of cancers using histopathological images is a challenging task of accurate detection of tumor sub-types. In this paper, we applied fine-tuned pre-trained deep neural networks classified on BreakHis datasets on eight distinct classes for benign has four sub-classes (adenosis, fibroadenoma, phyllodes tumor, and tubular adenoma) malignant has four sub-classes (ductal carcinoma, lobular carcinoma, mucinous carcinoma, and papillary carcinoma) all together on difference model on Inception (V1,V2) and ResNet V1 50. The confusion matrix showing high accuracy value 95% with less error rate 0.011 .
  • 关键词:Medical imaging; Computer-aided diagnosis (CAD); Deep Learning; Medical image processing; Convolution Neural Network.
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