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  • [\'Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh. Electronic address: monzilahamed321@gmail.com.\', \'Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh. Electronic address: manowar@cse.jnu.ac.bd.\', \'Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh. Electronic address: ashraf@cse.jnu.ac.bd.\', \'Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh. Electronic address: arnisha@cse.jnu.ac.bd.\', \'Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Bangladesh. Electronic address: bikash@mbstu.ac.bd.\', \'Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh. Electronic address: yousuf@juniv.edu.\', \'Complex Systems Research Group, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia. Electronic address: shahadat.uddin@sydney.edu.au.\', \'Healthy Ageing Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia. Electronic address: j.quinn@garvan.org.au.\', \'Healthy Ageing Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia; Artificial Intelligence & Digital Health Data Science, School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, 4072, Australia. Electronic address: m.moni@uq.edu.au.\']
?:citedBy
  • -1
?:creator
?:doi
  • S0010-4825(21)00808-810.1016/j.compbiomed.2021.105014
?:doi
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?:journal
  • Computers in biology and medicine
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?:pmid
?:pmid
  • 34781234
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?:rankingScore_SJR
  • 0.591
?:rankingScore_hIndex
  • 68
?:title
  • A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
?:type
?:year
  • 2021

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