Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology.

Truong, An Hoai; Sharmanska, Viktoriia; LimbÓck-Stanic, Clara; Grech-Sollars, Matthew

Truong, An Hoai; Sharmanska, Viktoriia; LimbÓck-Stanic, Clara; Grech-Sollars, Matthew.

Afiliación

Truong AH; Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Sharmanska V; Department of Computing, Faculty of Engineering, Imperial College London, London, UK.
LimbÓck-Stanic C; Department of Brain Sciences, Imperial College London, London, UK.
Grech-Sollars M; Department of Histopathology, Imperial College Healthcare NHS Trust, London, UK.

Neurooncol Adv ; 2(1): vdaa110, 2020.

Article en En | MEDLINE | ID: mdl-33196039

Palabras clave

brain tumor; deep learning; digital pathology; machine learning; tumor heterogeneity

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Neurooncol Adv Año: 2020 Tipo del documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Neurooncol Adv Año: 2020 Tipo del documento: Article