Computerised scoring protocol for identification and quantification of different immune cell populations in breast tumour regions by the use of QuPath software.

Berben, Lieze; Wildiers, Hans; Marcelis, Lukas; Antoranz, Asier; Bosisio, Francesca; Hatse, Sigrid; Floris, Giuseppe

Berben, Lieze; Wildiers, Hans; Marcelis, Lukas; Antoranz, Asier; Bosisio, Francesca; Hatse, Sigrid; Floris, Giuseppe.

Afiliación

Berben L; Department of Oncology, Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium.
Wildiers H; Department of Oncology, Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium.
Marcelis L; Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium.
Antoranz A; Department of Pathology, Laboratory of Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium.
Bosisio F; Department of Pathology, Laboratory of Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium.
Hatse S; Department of Pathology, Laboratory of Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium.
Floris G; Department of Pathology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.

Histopathology ; 77(1): 79-91, 2020 Jul.

Article en En | MEDLINE | ID: mdl-32281132

Asunto(s)

Neoplasias de la Mama/inmunología; Interpretación de Imagen Asistida por Computador/métodos; Linfocitos Infiltrantes de Tumor/patología; Programas Informáticos; Femenino; Humanos; Inmunohistoquímica/métodos

Palabras clave

QuPath; breast cancer; scoring protocol; tumour immune infiltration

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Neoplasias de la Mama / Interpretación de Imagen Asistida por Computador / Linfocitos Infiltrantes de Tumor Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Histopathology Año: 2020 Tipo del documento: Article País de afiliación: Bélgica

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