Medical Imaging Using Machine Learning and Deep Learning Algorithms

This paper provides a survey of medical imaging in the machine and deep learning methods to analyze distinctive diseases. Machine and deep learning algorithms are important ways in medical imaging predict the symptoms of early disease.  

It uses the supervised or unsupervised algorithms using some specific standard dataset to indicate the predictions. We survey image classification, object detection, pattern recognition, reasoning etc. concepts in medical imaging. These are used to improve the accuracy by extracting the meaningful patterns for the specific disease in medical imaging. 

For the study of multi-dimensional medical data, machine and deep learning provide a commendable technique for creation of classification and automatic decision making. It carries consideration concerning the suite of these algorithms which can be used for the investigation of diseases and automatic decision-making.