Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset
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Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset.
Shashankhon1/ResNet50-Cancer-cell-Classifier
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Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset.
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