Automatic Detection of Invasive Ductal Carcinoma with Convolution Neural Networks |
Author(s): |
| Shubham Popli , The Northcap University ; Nakshtra Popli, Dr. Akhilesh Das Gupta Institute of Technology and Management |
Keywords: |
| Breast Cancer, Neural Network, Cancer |
Abstract |
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A profound learning device for recognizing and imagining intrusive ductal carcinoma (IDC) tissue areas in bosom malignant growth entire slide pictures (WSI) is characterized in this article (BCa). Deep learning techniques incorporate computational dis-playing of the taking in measure and are gain from-information strategies. To get familiar with a progressive part-based portray-al, the CNN is prepared on countless picture patches (tissue locales) from WSI. Utilizing various models like VGG16, ResNet50, EfficientNetB0, and DenseNet121, the model helps us in accomplishing the best presentation. |
Other Details |
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Paper ID: IJSRDV9I80113 Published in: Volume : 9, Issue : 8 Publication Date: 01/11/2021 Page(s): 153-157 |
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