About: COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
Creator	Ali, Md Hassan, Radhiana Adli, Mohd Azemin, Che Izzuddin, Mohd Tamrin, Mohd Zulfaezal, Mohd
Source	Medline; PMC
abstract	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.
has issue date	2020-08-18(xsd:dateTime)
bibo:doi	10.1155/2020/8828855
bibo:pmid	32849861
has license	cc-by
sha1sum (hex)	e55afb5713e341308728e5ccecabcf8b48e5a69f
schema:url	https://doi.org/10.1155/2020/8828855
resource representing a document's title	COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
has PubMed Central identifier	PMC7439162
has PubMed identifier	32849861
schema:publication	Int J Biomed Imaging
resource representing a document's body	covid:e55afb5713e341308728e5ccecabcf8b48e5a69f#body_text
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