About: Automated detection of COVID-19 cases using deep neural networks with X-ray images

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scientific article published on 28 April 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) bài báo khoa học (vi) artículu científicu espublizáu n'abril de 2020 (ast) im April 2020 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 28 April 2020 (en) наукова стаття, опублікована 28 квітня 2020 (uk)
publication date	wds:Q96615799-17B0133C-048F-433D-AA92-F3D36F8D7600
publication date	2020-04-28 00:00:00Z (xsd:dateTime)
author name string	wds:Q96615799-020EB55A-000B-44EF-8445-C34DAA165319 wds:Q96615799-8D760ABE-48E7-4A26-B9FD-35639EC39986 wds:Q96615799-B4DF5C9E-0F88-4BF2-B448-3C13F227A36F wds:Q96615799-D34C212D-F75D-40B9-8475-69DBBC6E2E07 wds:Q96615799-F88DCB63-72D3-4E1F-AA96-762482C88AA8
author name string	Tulin Ozturk Ozal Yildirim Ulas Baran Baloglu Muhammed Talo Eylul Azra Yildirim
rdfs:label	Automated detection of COVID-19 cases using deep neural networks with X-ray images (en) Automated detection of COVID-19 cases using deep neural networks with X-ray images (nl)
skos:prefLabel	Automated detection of COVID-19 cases using deep neural networks with X-ray images (en) Automated detection of COVID-19 cases using deep neural networks with X-ray images (nl)
name	Automated detection of COVID-19 cases using deep neural networks with X-ray images (en) Automated detection of COVID-19 cases using deep neural networks with X-ray images (nl)
author	wds:Q96615799-1BAEE651-0014-421D-8EBB-3E7C88E9FA4C
author	U Rajendra Acharya
title	wds:Q96615799-19A3E618-EB9C-443B-AFFD-CEE1595693B3
title	Automated detection of COVID-19 cases using deep neural networks with X-ray images (en)
page(s)	wds:Q96615799-53ECA9C9-675D-4B52-B182-7F0764E28031
page(s)	103792
instance of	wds:Q96615799-27995993-FD82-470D-9291-FE898176A8D8
instance of	scholarly article
main subject	wds:Q96615799-61C8B9E7-5202-408E-9C02-D63EFEC64682 wds:Q96615799-BC4E71BF-59D9-464D-812A-5F1F98EB1E94
main subject	COVID-19 mortality deep neural network
PubMed ID	wds:Q96615799-D04BB636-7FB4-4239-80AE-5FC0AAFF8276
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32568675
PubMed ID	32568675
DBLP publication ID	wds:Q96615799-9CAE8035-D2F4-4379-9EDC-EE99E5A043FA
DBLP publication ID	https://dblp.org/rec/journals/cbm/OzturkTYBYA20
DBLP publication ID	journals/cbm/OzturkTYBYA20
published in	wds:Q96615799-AE2D8F7D-4D28-4464-A3CF-1E1D5FC35DFD
published in	Computers in Biology and Medicine
volume	wds:Q96615799-774D1BD0-8831-4344-9D6B-B579A7222D3B
volume	121
DOI	wds:Q96615799-76816BB2-884A-4C4F-B305-007371CE469C
DOI	http://dx.doi.org/10.1016/J.COMPBIOMED.2020.103792
DOI	10.1016/J.COMPBIOMED.2020.103792
PMCID	wds:Q96615799-2AE2A127-A5BC-4191-9B38-C0FECE912F26
PMCID	7187882
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q96615799
is cites work of	Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble Overview of current state of research on the application of artificial intelligence techniques for COVID-19 COVID-19: a new deep learning computer-aided model for classification Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning COVID-19 contact tracing apps: the 'elderly paradox' Systems and Clinical Pharmacology of COVID-19 Therapeutic Candidates: A Clinical and Translational Medicine Perspective COVID-19 image classification using deep features and fractional-order marine predators algorithm Competitive Deep Learning Methods for COVID-19 Detection using X-ray Images Comparative Analysis of COVID-19 X-ray Images Classification Using Convolutional Neural Network, Transfer Learning, and Machine Learning Classifiers Using Deep Features KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images
is cites work of	wds:Q99637339-B26839DF-6761-4AAD-B098-0D1F86D52F39 wds:Q110949858-9D67C5C4-AAD9-44E6-8FC1-19BC85C136C7 wds:Q111521434-C2DB0072-9CDD-4072-8678-E0BC55588FE5 wds:Q111522181-291EAFC3-11AD-421C-ABF7-3F3E061C6F3D wds:Q97533317-C48E4161-838D-4929-B9CF-4DC656297BF6 wds:Q98568279-4DE1A7EA-E625-4F61-BD42-C396AC1FD725 wds:Q97555678-6E63E22D-B0E0-49A9-839A-B7B46D389FCE wds:Q97074355-CE97731C-DB45-4A7F-A905-F934DC247310 wds:Q103035921-D12BA326-7B8C-41C9-B196-1FC673A20C57 wds:Q110950132-E178D9D5-AA5E-413D-BB03-0C9705A457A4 wds:Q110950307-E9CFB172-D001-4FE9-A971-7FFC35ADAB6A wds:Q108127036-D5424A80-D5D1-4400-85EB-84FC18A0346E wds:Q99637327-70384502-18BF-4C68-B121-DA0329897C45 wds:Q110949871-CD975EC0-3C36-4570-BA1E-6DCC26A89D83 wds:Q99547645-1A8BEE6E-808D-495C-9BAE-BA251A3E17C7 wds:Q108127371-2B7605C2-D353-48B8-AD34-2F5A8BEA014D wds:Q110949596-69195562-37F5-42D8-B046-17DD8A785D3D wds:Q99594583-CAA4CFF9-AC24-4ECD-9455-ABD374B956DA wds:Q95630751-B0042F10-0B45-4620-99B2-178FE48A16FB wds:Q110949656-7253D41E-2D7A-4504-84C4-8BD9FAFDFD33 wds:Q111521620-204158C8-F2AB-4409-823A-C65B529C47D6 wds:Q99403284-1E8356C9-15C6-4815-BE75-BF31A4D21306

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