The Role of Machine Learning and Deep Learning Tools on Medical Image Processing Approaches: An Analytical Review

Abstract

The process of automating medical image processing is enormously increasing as it
is highly important to involve the AI, which identifies the exact reason for illness or decease. The
era started in the later years of 20th century and tremendously grew with the involvement of
machine learning and deep neural networks. However, it is highly essential to know the details of
datasets and the tool to be used for a particular dataset. Hence, in this paper, we made an effort to
give the details on datasets and the different classification models implemented using machine
learning techniques such as neural networks, support vector machines, decision trees and bayes
classification models, and deep neural networks such as convolutional neural networks and
recurrent neural networks. Moreover, this paper focuses on future guidance for medical image
processing. It tells about the present datasets issues and where the present research is lagging.
Several aspects have been given for the upcoming researchers in this regard.