Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs.

Togaçar, Mesut; Muzoglu, Nedim; Ergen, Burhan; Yarman, Bekir Siddik Binboga; Halefoglu, Ahmet Mesrur

Togaçar, Mesut; Muzoglu, Nedim; Ergen, Burhan; Yarman, Bekir Siddik Binboga; Halefoglu, Ahmet Mesrur.

Afiliación

Togaçar M; Department of Computer Technologies, Technical Sciences Vocational School, Firat University, Elazig, Turkey.
Muzoglu N; Department of Biomedical Sciences, Faculty of Engineering, Istanbul University, Istanbul, Turkey.
Ergen B; Department of Computer Engineering, Faculty of Engineering, Firat University, Elazig, Turkey.
Yarman BSB; Department of Electric-Electronic Engineering, Faculty of Engineering, Istanbul University, Istanbul, Turkey.
Halefoglu AM; Department of Radiology, Sisli Hamidiye Etfal Training and Research Hospital, Health Sciences University, Istanbul, Turkey.

Biomed Signal Process Control ; 71: 103128, 2022 Jan.

Article en En | MEDLINE | ID: mdl-34490055

Palabras clave

COVID-19; Chest CT findings; Deep learning; Image processing; Medical decision support system

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Biomed Signal Process Control Año: 2022 Tipo del documento: Article

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