A REVIEW ON MEDICAL IMAGE MINING IN FEDERATED MACHINE LEARNING ALGORITHMS

Abstract

In medical image mining broadly used machine learning algorithms for effective classification and clustering.Due to the medical image mining to develop public health and eminence of life. The field of machine learning is rising the medical image analysis. All medical image applications connect to machine learning techniques. Medical image analysis denotes to set of measures to get valuable and correct information from multiple image processing modules for diagnosis.The proper extracted information helps improve the diagnosis according to the requirements of patients.This paper used a few well-known machine learning algorithms like k-nearest neighbors, support vector machine, Logistic Regression, and Random Forest tree on medical image data. Statistical results show the efficiency of algorithms on numerous metrics.