Machine learning is the application of artificial intelligence that provides the system with ability to learn automatically from experience without any programming. Advances in processing power, memory, storage, and an unprecedented wealth of data, drives the computers to tackle increasingly complex learning tasks, often with astonishing success. One of such emerging field is medical applications. Hence, all the analytic companies are turning attention to problems in healthcare. Machine learning is the scientific discipline that focuses on how computers learn from data. This helps the medical practioners to analyse the image thoroughly and take a decision accordingly. Machine learning arises at the intersection of statistics, which seeks to learn relationships from data, and computer science, with its emphasis on efficient computing algorithms. The purpose of this study is to explore the problems in medical imaging and a comparison of medical imaging algorithms that are used machine learning.
Volume 11 | 05-Special Issue
Pages: 2162-2170