Biomarker-Based Classification and Localization of Renal Lesions Using Learned Representations of Histology-A Machine Learning Approach to Histopathology.

Freyre, Christophe A C; Spiegel, Stephan; Gubser Keller, Caroline; Vandemeulebroecke, Marc; Hoefling, Holger; Dubost, Valerie; Cörek, Emre; Moulin, Pierre; Hossain, Imtiaz

Freyre, Christophe A C; Spiegel, Stephan; Gubser Keller, Caroline; Vandemeulebroecke, Marc; Hoefling, Holger; Dubost, Valerie; Cörek, Emre; Moulin, Pierre; Hossain, Imtiaz.

Afiliación

Freyre CAC; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.
Spiegel S; 1528Novartis International AG, Basel, Switzerland.
Gubser Keller C; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.
Vandemeulebroecke M; 111826Novartis Pharma AG, Basel, Switzerland.
Hoefling H; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.
Dubost V; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.
Cörek E; 130383University of Basel, Basel, Switzerland.
Moulin P; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.
Hossain I; 33413Novartis Institutes for Biomedical Research (NIBR), Basel, Switzerland.

Toxicol Pathol ; 49(4): 798-814, 2021 06.

Article en En | MEDLINE | ID: mdl-33625320

Asunto(s)

Aprendizaje Automático; Patólogos; Animales; Biomarcadores; Técnicas Histológicas; Humanos; Ratas

Palabras clave

computational pathology; deep learning; multiple instance learning; multitask learning; representation learning; tissue scoring

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Automático / Patólogos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Toxicol Pathol Año: 2021 Tipo del documento: Article País de afiliación: Suiza

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