COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
Joint Authors
Che Azemin, Mohd Zulfaezal
Hassan, Radhiana
Mohd Tamrin, Mohd Izzuddin
Md Ali, Mohd Adli
Source
International Journal of Biomedical Imaging
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The key component in deep learning research is the availability of training data sets.
With a limited number of publicly available COVID-19 chest X-ray images, the generalization and robustness of deep learning models to detect COVID-19 cases developed based on these images are questionable.
We aimed to use thousands of readily available chest radiograph images with clinical findings associated with COVID-19 as a training data set, mutually exclusive from the images with confirmed COVID-19 cases, which will be used as the testing data set.
We used a deep learning model based on the ResNet-101 convolutional neural network architecture, which was pretrained to recognize objects from a million of images and then retrained to detect abnormality in chest X-ray images.
The performance of the model in terms of area under the receiver operating curve, sensitivity, specificity, and accuracy was 0.82, 77.3%, 71.8%, and 71.9%, respectively.
The strength of this study lies in the use of labels that have a strong clinical association with COVID-19 cases and the use of mutually exclusive publicly available data for training, validation, and testing.
American Psychological Association (APA)
Che Azemin, Mohd Zulfaezal& Hassan, Radhiana& Mohd Tamrin, Mohd Izzuddin& Md Ali, Mohd Adli. 2020. COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings. International Journal of Biomedical Imaging،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1169152
Modern Language Association (MLA)
Che Azemin, Mohd Zulfaezal…[et al.]. COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings. International Journal of Biomedical Imaging No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1169152
American Medical Association (AMA)
Che Azemin, Mohd Zulfaezal& Hassan, Radhiana& Mohd Tamrin, Mohd Izzuddin& Md Ali, Mohd Adli. COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings. International Journal of Biomedical Imaging. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1169152
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169152