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A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.
Kumar, Santosh; Chaube, Mithilesh Kumar; Alsamhi, Saeed Hamood; Gupta, Sachin Kumar; Guizani, Mohsen; Gravina, Raffaele; Fortino, Giancarlo.
Afiliação
  • Kumar S; Department of Computer Science and Engineering, International Institute of Information Technology, Naya Raipur, Chhattishgarh, India. Electronic address: santosh@iiitnr.edu.in.
  • Chaube MK; Department of Mathematical Sciences, International Institute of Information Technology, Naya Raipur, Chhattishgarh, India. Electronic address: mithilesh@iiitnr.edu.in.
  • Alsamhi SH; Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland; Faculty of Engineering, IBB University, Ibb, Yemen. Electronic address: saeed.alsamhi@insight-centre.org.
  • Gupta SK; School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, India. Electronic address: sachin.gupta@smvdu.ac.in.
  • Guizani M; Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates. Electronic address: mguizani@ieee.org.
  • Gravina R; Department of Informatics, Modeling, Electronic, and System Engineering, University of Calabria, Rende 87036, Italy. Electronic address: r.gravina@dimes.unical.it.
  • Fortino G; Department of Informatics, Modeling, Electronic, and System Engineering, University of Calabria, Rende 87036, Italy. Electronic address: giancarlo.fortino@unical.it.
Comput Methods Programs Biomed ; 226: 107109, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36174422
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article