Breast Cancer Detection


The breast cancer detection project uses histology images to classify whether the patient has Invasive Ductal Carcinoma or not. This project uses an IDC dataset to classify histology images as malignant or benign. A convoluted neural network is best suited for this task. The model is trained using about 80% of the dataset, and the remaining dataset is used for testing the accuracy of the model after training it.

Course Currilcum

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