Breast Cancer Prediction using histopathological images data

Used dataset of 7k+ histopathological images sorted as benign and malignant. Applied pre-processing of images and convolutonal neural network to train our model. Output of the model would give whether the given inserted histopathologic images is critical breast cancer or not. Accuracy of 78% was obtained.