Chest X-Rays Image Classification in Medical Image Analysis
Keywords:Chest X-Ray, Computer-Aided Diagnosis, Image Classification, Medical Image Analysis, Machine Learning
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.
How to Cite
The papers published in the journal are licensed under a Creative Commons Attribution (CC BY 4.0) International License.