Gupta, Aayushi, et al. “Automated Classification of Chest X-Ray Images As Normal or Abnormal Using Convolutional Neural Network”. 2018. Asian Journal of Convergence in Technology, vol. 4, no. 1, 2018.
Keywords
Abstract
Chest X-Rays are generally used for diagnosing abnormalities in the thoracic area. Radiologists need to spend significant amount of time for interpreting scans. Automatic classification of these images could greatly help radiology interpretation process by enhancing real world diagnosis of problems. Hence, radiologists can focus on detecting abnormalities from the abnormal images rather than checking for it in all the images. In this paper, we present a machine learning approach to solve this problem.
Year of Publication
2018
Journal
Asian Journal of Convergence in Technology
Volume
4
Issue
1
Date Published
04/2018