Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis

Authors

  • Hai Thanh Nguyen Can Tho University
  • Hoang Thanh Huynh Can Tho University
  • Toan Bao Tran Duy Tan University image/svg+xml
  • Hiep Xuan Huynh Can Tho University

DOI:

https://doi.org/10.4108/eai.13-7-2018.165349

Keywords:

Explanation, Chest images, X-ray images, Pneumonia, Convolutional Neural Network, disease diagnosis

Abstract

Medical images are valuable sources for disease diagnosis. Besides, advancements in deep learning in recent years have been supporting disease diagnosis methods based on images to obtain numerous achievements. However, deep learning algorithms still work as a black-box so it is difficult to interpret output from these algorithms. In this study, we propose a convolutional network architecture to classify Chest X-ray images as well as apply explanation approaches for trained models to support disease diagnosis. The proposed method provides insights in medical images to support Pneumonia diagnosis.

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Published

17-06-2020

How to Cite

1.
Thanh Nguyen H, Thanh Huynh H, Tran TB, Xuan Huynh H. Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis. EAI Endorsed Trans Context Aware Syst App [Internet]. 2020 Jun. 17 [cited 2024 Apr. 20];7(21):e3. Available from: https://publications.eai.eu/index.php/casa/article/view/1878

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