An AI-enabled pre-trained model-based Covid detection model using chest X-ray images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11580-x.pdf
Reference33 articles.
1. Abbas A et al (2020) Classification of COVID-19 in Chest X-ray images using DeTraC deep convolutional neural network. Appl Intell 51:854–864
2. Ashok M, Gupta A (2021) A systematic review of the techniques for the automatic segmentation of organs-at-risk in thoracic computed tomography images. Archiv Comput Methods Eng 28(4):3245–3267
3. Ashok M, Gupta A (2021) March. Deep learning-based techniques for the automatic segmentation of organs in thoracic computed tomography images: a comparative study. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 198–202). IEEE.
4. Bhandary A et al (2020) Deep-learning framework to detect lung abnormality: a study with chest X-Ray and lung CT scan images. Pattern Recogn Lett 129:271–278
5. Cohen et al. (2020) Covid chest X-ray dataset. Available at https://github.com/ieee8023/covid-chestxray-dataset
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