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A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques.
Subramaniam, Kavitha; Palanisamy, Natesan; Sinnaswamy, Renugadevi Ammapalayam; Muthusamy, Suresh; Mishra, Om Prava; Loganathan, Ashok Kumar; Ramamoorthi, Ponarun; Gnanakkan, Christober Asir Rajan Charles; Thangavel, Gunasekaran; Sundararajan, Suma Christal Mary.
Afiliación
  • Subramaniam K; Department of Computer Science and Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu India.
  • Palanisamy N; Department of Computer Science and Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu India.
  • Sinnaswamy RA; Department of Electronics and Communication Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu India.
  • Muthusamy S; Department of Electronics and Communication Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu India.
  • Mishra OP; Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu India.
  • Loganathan AK; Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, Tamil Nadu India.
  • Ramamoorthi P; Department of Electrical and Electronics Engineering, Theni Kammavar Sangam College of Technology, Theni, Tamil Nadu India.
  • Gnanakkan CARC; Department of Electrical and Electronics Engineering, Puducherry Technological University, Puducherry, India.
  • Thangavel G; Department of Engineering, University of Technology and Applied Sciences, Muscat, Sultanate of Oman.
  • Sundararajan SCM; Department of Information Technology, Panimalar Engineering College (Autonomous), Poonamallee, Chennai, Tamil Nadu India.
Soft comput ; : 1-22, 2023 May 27.
Article en En | MEDLINE | ID: mdl-37362273
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Soft comput Año: 2023 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Soft comput Año: 2023 Tipo del documento: Article Pais de publicación: Alemania