State-of-the-Art Review of Deep Learning for Medical Image Analysis

Medical image analysis involves solving medical issues by the analysis of images fetched by medical practice. Main objective is to fetch the effective and efficient data in order to perform diagnosis in a better way. Improvements in the area of deep learning especially convolutional neural networks have become the choice of researchers for the medical image analysis field. Deep convolutional neural networks are mostly applied as compared to other available deep learning methods for the medical image analysis tasks. Deep learning and pattern recognition tools are utilized broadly in medical image analysis. In this paper a concise discussion of different techniques that are being deployed using deep learning for medical imaging such as classification, detection, & segmentation is investigated.