Heterogeneous Deep Neural Network for Healthcare Using Metric Learning

Brain Tumor occurs when abnormal cells form within the brain. There are two main types of tumors malignant and benign tumors. So for early precise detection of tumor cells, in conventional methods there are various algorithm which helps to diagnosis the tumor cells though it fails to predict an accurate results. This paper presents a reliable detection method by making use of tensor flow library, Faster R-CNN algorithm and SVM classifier used to predict the likely chances of brain related tumor of the patient. Faster R-CNN algorithm is a capable classification algorithm in which both region proposal generation and objection tasks are all done by the same convolutional networks.