The Digital Brain Tumour Atlas, an open histopathology resource

Currently, approximately 150 different brain tumour types are defined by the WHO. Recent endeavours to exploit machine learning and deep learning methods for supporting more precise diagnostics based on the histological tumour appearance have been hampered by the relative paucity of accessible digit...

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Detalles Bibliográficos
Autores principales: Roetzer-Pejrimovsky, Thomas, Moser, Anna-Christina, Atli, Baran, Vogel, Clemens Christian, Mercea, Petra A., Prihoda, Romana, Gelpi, Ellen, Haberler, Christine, Höftberger, Romana, Hainfellner, Johannes A., Baumann, Bernhard, Langs, Georg, Woehrer, Adelheid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847577/
https://www.ncbi.nlm.nih.gov/pubmed/35169150
http://dx.doi.org/10.1038/s41597-022-01157-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847577/
https://www.ncbi.nlm.nih.gov/pubmed/35169150
http://dx.doi.org/10.1038/s41597-022-01157-0

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