Chest X-Rays Image Classification in Medical Image Analysis

Authors

  • Taufik RAHMAT Universiti Teknologi MARA
  • Azlan ISMAIL Universiti Teknologi MARA
  • Sharifah ALIMAN Universiti Teknologi MARA

Keywords:

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

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.

Author Biographies

Taufik RAHMAT, Universiti Teknologi MARA

Faculty of Computer and Mathematical Sciences

Azlan ISMAIL, Universiti Teknologi MARA

Faculty of Computer and Mathematical Sciences

Sharifah ALIMAN, Universiti Teknologi MARA

Advanced Analytics Engineering Center

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Published

27.12.2018

How to Cite

1.
RAHMAT T, ISMAIL A, ALIMAN S. Chest X-Rays Image Classification in Medical Image Analysis. Appl Med Inform [Internet]. 2018 Dec. 27 [cited 2024 Apr. 12];40(3-4):63-7. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/639

Issue

Section

Reviews