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IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning.
Khan, Mudasir; Shah, Pir Masoom; Khan, Izaz Ahmad; Islam, Saif Ul; Ahmad, Zahoor; Khan, Faheem; Lee, Youngmoon.
Afiliación
  • Khan M; Department of Computer Science, Bacha Khan University, Charsadda (BKUC), Charsadda 24420, Pakistan.
  • Shah PM; Department of Computer Science, Bacha Khan University, Charsadda (BKUC), Charsadda 24420, Pakistan.
  • Khan IA; Department of Computer Science, Bacha Khan University, Charsadda (BKUC), Charsadda 24420, Pakistan.
  • Islam SU; Department of Computer Science, Institute of Space Technology, Islamabad 44000, Pakistan.
  • Ahmad Z; Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), H12, Islamabad 44000, Pakistan.
  • Khan F; Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea.
  • Lee Y; Department of Robotics, Hanyang University, Ansan-si 15588, Republic of Korea.
Sensors (Basel) ; 23(3)2023 Jan 28.
Article en En | MEDLINE | ID: mdl-36772510
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Pakistán
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Pakistán