Breast Cancer Histopathological Image Classification using Deep Convolutional Neural Network

Deep learning has come up with the intense class of models which have potential applications in the field of image classification, video recognition, object recognition, natural language Processing and speech recognition. Mainly, Deep convolutional Neural Network is one of the deep learning models that is used for image classification, that extracts the feature from the images and use these extracted features to classify images (2D or 3D images). In this paper, DCNN is used to classify mammogram images obtained from medical imaging process to detect the benign and malignant cells. The outcome of the study is to bring out the idea behind computing techniques incorporated with medical diagnostics, helping medical professional to take advantage of computer aided diagnostics, ultimately improving the time spent by pathologist to inspect the stained tissues in-turn increasing the survival rates.