About: IKONOS: An intelligent tool to support diagnosis of Covid-19 by texture analysis of x-ray images

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About: IKONOS: An intelligent tool to support diagnosis of Covid-19 by texture analysis of x-ray images Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	IKONOS: An intelligent tool to support diagnosis of Covid-19 by texture analysis of x-ray images
Creator	Bandeira, Jonathan Barbosa, F De, Valter Dos Santos, P Emmanuel De Souza, Ricardo Gomes, Juliana Masood, Aras Mêuser, · Santana, Maira Silva Valença, Jorge Wellington, Ismael
topic	covid:18c3cb2d2abc4dbdddcedf076f0514b506a613cd#this
Source	MedRxiv
abstract	In late 2019, the SARS-Cov-2 spread worldwide. The virus has high rates of proliferation and causes severe respiratory symptoms, such as pneumonia. There is still no specific treatment and diagnosis for the disease. The standard diagnostic method for pneumonia is chest X-ray image. There are many advantages to using Covid-19 diagnostic X-rays: low cost, fast and widely available. We propose an intelligent system to support diagnosis by X-ray images.We tested Haralick and Zernike moments for feature extraction. Experiments with classic classifiers were done. Support vector machines stood out, reaching an average accuracy of 89:78%, average recall and sensitivity of 0:8979, and average precision and specificity of 0:8985 and 0:9963 respectively. The system is able to differentiate Covid-19 from viral and bacterial pneumonia, with low computational cost.
has issue date	2020-05-09(xsd:dateTime)
bibo:doi	10.1101/2020.05.05.20092346
has license	medrxiv
sha1sum (hex)	18c3cb2d2abc4dbdddcedf076f0514b506a613cd
schema:url	https://doi.org/10.1101/2020.05.05.20092346
resource representing a document's title	IKONOS: An intelligent tool to support diagnosis of Covid-19 by texture analysis of x-ray images
resource representing a document's body	covid:18c3cb2d2abc4dbdddcedf076f0514b506a613cd#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/18c3cb2d2abc4dbdddcedf076f0514b506a613cd
is schema:about of	named entity 'cost' named entity 'recall' named entity 'high' named entity 'sensitivity' named entity 'chest X-ray' named entity 'worldwide' named entity 'support' named entity 'COST' named entity 'PNEUMONIA' named entity 'AVERAGE' named entity 'X-RAY' named entity 'FAST' named entity 'VIRUS' covid:arg/18c3cb2d2abc4dbdddcedf076f0514b506a613cd named entity 'virus' named entity 'average' named entity 'feature extraction' named entity 'proliferation' named entity 'average' named entity 'image' named entity 'Covid-19' named entity 'diagnostic method' named entity 'reaching' named entity 'bacterial pneumonia' named entity 'X-ray images' named entity 'SARS-Cov-2' named entity 'feature extraction' named entity 'X-rays' named entity 'respiratory symptoms' named entity 'texture analysis' named entity 'x-ray images' named entity 'pleural effusion' named entity 'pneumonia' named entity 'medRxiv' named entity 'disease-free' named entity 'machine learning' named entity 'feature extraction' named entity 'chest X-ray' named entity 'Covid-19' named entity 'Random Tree' named entity 'sensitivities and specificities' named entity 'Covid-19' named entity 'preprint' named entity 'pneumonia, viral' named entity 'virus' named entity 'Covid-19' named entity 'Weka' named entity 'IgM' named entity 'preprint' named entity 'pneumonia, bacterial' named entity 'Covid' named entity 'Covid' named entity 'Covid' named entity 'Support vector machines' named entity 'bacterial pneumonia' named entity 'novel-coronavirus' named entity 'unit disk' named entity 'preprint' named entity 'standard deviation' named entity 'antibodies' named entity 'backpropagation' named entity 'pneumonia' named entity 'medRxiv' named entity 'qPCR' named entity 'ImageNet' named entity 'data model' named entity 'SVM' named entity 'lung' named entity 'preprint' named entity 'precision, recall' named entity 'infection' named entity 'backpropagation algorithm' named entity 'statistical information'

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