Research Article
A Convolutional Neural Network on X-Ray Images for Pneumonia Diagnosis
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@INPROCEEDINGS{10.1007/978-3-030-67101-3_17, author={Hiep Xuan Huynh and Son Hai Dang and Cang Anh Phan and Hai Thanh Nguyen}, title={A Convolutional Neural Network on X-Ray Images for Pneumonia Diagnosis}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={AI Deep learning Chest X-ray X-ray imaging Pneumonia Convolutional neural network}, doi={10.1007/978-3-030-67101-3_17} }- Hiep Xuan Huynh
Son Hai Dang
Cang Anh Phan
Hai Thanh Nguyen
Year: 2021
A Convolutional Neural Network on X-Ray Images for Pneumonia Diagnosis
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_17
Abstract
The application of AI in general and Deep learning, in particular, is becoming increasingly popular in human life. AI has been able to replace people in many fields, with data already synthesized and stored by computers that will help AI become smarter. One of the areas where AI can be applied very well is the medical field, especially X-ray imaging. In this study, we propose a convolutional network architecture to classify chest X-ray images as well as apply explanatory methods to trained models to support disease diagnosis. The proposed method provides insight into medical imaging to support the diagnosis of Pneumonia.
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