TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images.

Wong, Alexander; Lee, James Ren Hou; Rahmat-Khah, Hadi; Sabri, Ali; Alaref, Amer; Liu, Haiyue

Wong, Alexander; Lee, James Ren Hou; Rahmat-Khah, Hadi; Sabri, Ali; Alaref, Amer; Liu, Haiyue.

Afiliación

Wong A; Vision and Image Processing Research Group, University of Waterloo, Waterloo, ON, Canada.
Lee JRH; Waterloo Artificial Intelligence Institute, University of Waterloo, Waterloo, ON, Canada.
Rahmat-Khah H; DarwinAI Corp, Waterloo, ON, Canada.
Sabri A; DarwinAI Corp, Waterloo, ON, Canada.
Alaref A; DarwinAI Corp, Waterloo, ON, Canada.
Liu H; Department of Radiology, Niagara Health, McMaster University, Hamilton, ON, Canada.

Front Artif Intell ; 5: 827299, 2022.

Article en En | MEDLINE | ID: mdl-35464996

Palabras clave

convolutional; efficient; neural network; radiology; self-attention; tuberculosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 3_ND Problema de salud: 1_recursos_humanos_saude / 2_cobertura_universal / 3_neglected_diseases / 3_tuberculosis Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Idioma: En Revista: Front Artif Intell Año: 2022 Tipo del documento: Article País de afiliación: Canadá

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