Automated Detection and Scoring of Tumor-Infiltrating Lymphocytes in Breast Cancer Histopathology Slides.

Yosofvand, Mohammad; Khan, Sonia Y; Dhakal, Rabin; Nejat, Ali; Moustaid-Moussa, Naima; Rahman, Rakhshanda Layeequr; Moussa, Hanna

Yosofvand, Mohammad; Khan, Sonia Y; Dhakal, Rabin; Nejat, Ali; Moustaid-Moussa, Naima; Rahman, Rakhshanda Layeequr; Moussa, Hanna.

Afiliación

Yosofvand M; Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Khan SY; Breast Center of Excellence, Department of Surgery, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Dhakal R; Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Nejat A; Department of Civil, Environmental, & Construction Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Moustaid-Moussa N; Department of Nutritional Sciences, Texas Tech University, Lubbock, TX 79409, USA.
Rahman RL; Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Moussa H; Breast Center of Excellence, Department of Surgery, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.

Cancers (Basel) ; 15(14)2023 Jul 15.

Article en En | MEDLINE | ID: mdl-37509295

Palabras clave

deep learning modeling; digital pathology; immunotherapy; tumor-infiltrating lymphocytes; whole cancer slide imaging

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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