YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.

Su, Yongye; Liu, Qian; Xie, Wentao; Hu, Pingzhao

Su, Yongye; Liu, Qian; Xie, Wentao; Hu, Pingzhao.

Afiliación

Su Y; Department of Biochemistry and Medical Genetics, University of Manitoba, Room 308-Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada.
Liu Q; Department of Biochemistry and Medical Genetics, University of Manitoba, Room 308-Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada; Department of Computer Science, University of Manitoba, Winnipeg, Canada.
Xie W; Department of Biochemistry and Medical Genetics, University of Manitoba, Room 308-Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada.
Hu P; Department of Biochemistry and Medical Genetics, University of Manitoba, Room 308-Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada; Department of Computer Science, University of Manitoba, Winnipeg, Canada; CancerCare Manitoba Research Institute, CancerCare Ma

Comput Methods Programs Biomed ; 221: 106903, 2022 Jun.

Article en En | MEDLINE | ID: mdl-35636358

Asunto(s)

Neoplasias de la Mama; Redes Neurales de la Computación; Mama/diagnóstico por imagen; Neoplasias de la Mama/diagnóstico por imagen; Diagnóstico por Computador; Femenino; Humanos; Mamografía/métodos

Palabras clave

Breast cancer; Deep learning; Mass detection; Mass segmentation; Transformer

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Texto completo: 1 Colección: 01-internacional Asunto principal: Neoplasias de la Mama / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Canadá

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