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Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.
Afshar, Parnian; Rafiee, Moezedin Javad; Naderkhani, Farnoosh; Heidarian, Shahin; Enshaei, Nastaran; Oikonomou, Anastasia; Babaki Fard, Faranak; Anconina, Reut; Farahani, Keyvan; Plataniotis, Konstantinos N; Mohammadi, Arash.
Affiliation
  • Afshar P; Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada.
  • Rafiee MJ; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.
  • Naderkhani F; Department of Medicine and Diagnostic Radiology, McGill University Health Center-Research Institute, Montreal, QC, Canada.
  • Heidarian S; Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada.
  • Enshaei N; Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.
  • Oikonomou A; Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada.
  • Babaki Fard F; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
  • Anconina R; Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
  • Farahani K; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
  • Plataniotis KN; Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), Rockville, MD, USA.
  • Mohammadi A; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.
Sci Rep ; 12(1): 4827, 2022 03 22.
Article in En | MEDLINE | ID: mdl-35318368
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / COVID-19 Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2022 Type: Article Affiliation country: Canada
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / COVID-19 Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2022 Type: Article Affiliation country: Canada