Breast Cancer is one of the uncontrollable growth of malignant cells in the chest. The most common treatments used
are chemotherapy or hormonal therapy using mammographic images, but the problem with mammographic images is complex
and low contrast noisy. Deep Learning can extract high level abstract features from images automatically. Therefore, we have
used histopathological images of breast cancer via supervised and unsupervised deep convolutional neural networks. The PreProcessing process is followed by Image Segmentation where we have implemented Watershed Algorithm. The System has been
developed using python Programming Language. In this paper, we have used convolutional neural network(CNN) for
Classification purpose which is one of the Deep learning techniques
