Breast Cancer Detection from Digital Mammogram using Deep Learning Method
C L Kaveramma · International Journal for Research in Applied Science and Engineering Technology · 2019
Breast cancer is the leading cause of cancer death in elderly women. prior detection and diagnosis is the best and most effective approach to decrease the tumour growth as well as the date rate. At the moment Digital Mammography is put forward as imaging method for early diagnosis of breast cancer. Classification of masses in mammograms is still a challenge and play crucial role in providing assistance to radiologist for accurate diagnosis. In this paper, a patch based convolutional neural network (CNN) based classification technique which is one of the deep learning technique is proposed. The architectural models of patch based CNN are used for classification of mammogram images into benign and malignant. A comparative study on CNN model has been discussed in this paper.