Abstract: Breast cancer is the leading cause of death among women worldwide. Approximately 8% of women are diagnosed at some point in their lives. In order to limit the number of people dying from cancer, early diagnosis is necessary to stop the growth of cancerous cells. Deep Learning (DL) algorithms are now widely employed in the categorization of breast cancer. They have a high degree of classification accuracy as well as diagnostic capabilities. As a result, in Classification of Breast Cancer, we utilize transfer learning approaches to classify breast cancer utilizing a Deep Convolutional Neural Network (CNN).
Keywords: Deep Convolutional Neural Network, transfer learning, Breast Cancer, Deep Leaning
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DOI:
10.17148/IJARCCE.2023.12677
[1] Mrs. A. V Lakshmi Prasuna, D. Divya Sesha Sree, A. Kalyani, D. Varshith, "CLASSIFICATION OF BREAST CANCER IMAGES WITH TRANSFER LEARNING AND DEEP CONVOLUTION NEURAL NETWORKS," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12677
