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TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique.
Ahmed, Syed Thouheed; Basha, Syed Muzamil; Venkatesan, Muthukumaran; Mathivanan, Sandeep Kumar; Mallik, Saurav; Alsubaie, Najah; Alqahtani, Mohammed S.
Affiliation
  • Ahmed ST; Department of Electrical Engineering, Indian Institute of Technology, Hyderabad., Hyderabad, India.
  • Basha SM; School of Computer Science and Engineering, REVA University, Bengaluru, India.
  • Venkatesan M; School of Computer Science and Engineering, REVA University, Bengaluru, India.
  • Mathivanan SK; Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, 603203, India.
  • Mallik S; School of Computing Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, 203201, India. sandeepkumarm322@gmail.com.
  • Alsubaie N; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA. smallik@arizona.edu.
  • Alqahtani MS; Department of Pharmacology & Toxicology, The University of Arizona, Tucson, AZ, 85721, USA. smallik@arizona.edu.
BMC Med Imaging ; 23(1): 146, 2023 10 02.
Article in En | MEDLINE | ID: mdl-37784025
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Type: Article Affiliation country: India
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Type: Article Affiliation country: India