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Validated method for automated glioma diagnosis from GFAP immunohistological images: a complete pipeline
A. Campo, F. Fernández-Flores, M. Pumarola
doi: https://doi.org/10.1101/2022.01.09.474689
A. Campo
aAgricultural Research Organization – Volcani Insititute, Derek Hamacabim 68, Rishon le Tsion, Israel
F. Fernández-Flores
bDepartment of Animal Medicine and Surgery, Veterinary Faculty, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès) Barcelona, Spain
M. Pumarola
bDepartment of Animal Medicine and Surgery, Veterinary Faculty, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès) Barcelona, Spain
cNetworking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès) Barcelona, Spain

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Posted January 11, 2022.
Validated method for automated glioma diagnosis from GFAP immunohistological images: a complete pipeline
A. Campo, F. Fernández-Flores, M. Pumarola
bioRxiv 2022.01.09.474689; doi: https://doi.org/10.1101/2022.01.09.474689
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