Deep Learning for Early Detection of Breast Cancer using Histopathological Images
Prof. D. D. Pukale · International Journal for Research in Applied Science and Engineering Technology · 2020
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 Pre-Processing 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.