Research Article
Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis
@ARTICLE{10.4108/eai.13-7-2018.165349, author={Hai Thanh Nguyen and Hoang Thanh Huynh and Toan Bao Tran and Hiep Xuan Huynh}, title={Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={7}, number={21}, publisher={EAI}, journal_a={CASA}, year={2020}, month={6}, keywords={Explanation, Chest images, X-ray images, Pneumonia, Convolutional Neural Network, disease diagnosis}, doi={10.4108/eai.13-7-2018.165349} }- Hai Thanh Nguyen
Hoang Thanh Huynh
Toan Bao Tran
Hiep Xuan Huynh
Year: 2020
Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis
CASA
EAI
DOI: 10.4108/eai.13-7-2018.165349
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.
Copyright © 2020 Thanh Hai Nguyen et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
