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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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