Chest X-Rays Image Classification in Medical Image Analysis

Taufik RAHMAT, Azlan ISMAIL, Sharifah ALIMAN

Abstract


Chest X-Rays image classification is an active research area in medical image analysis as well as computer-aided diagnosis for radiology. The main goal is to improve the quality and productivity of radiologists’ task by providing a computer system for detecting and classifying diseases. A few studies have been conducted in applying machine learning methods to produce a high-quality chest X-ray image classification approach. Some review papers have been published in discussing different aspects of medical image analysis and computer-aided diagnosis for radiology. This paper aims to complement the existing surveys by targeting on the chest X-ray image classification approaches base on the use of machine learning methods. The review begins with a background information of data mining, and the fundamental knowledge of medical image analysis, chest radiography, and machine learning.


Keywords


Chest X-Ray; Computer-Aided Diagnosis; Image Classification; Medical Image Analysis; Machine Learning

Full Text:

PDF
By clicking ‘Accept’, you agree to the use of cookies, and to the Privacy Policy on this website. Read our Privacy and Cookie Policies to find out more.


Appl Med Inform is published since 1995.