Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks

INTRODUCTION: Chronic kidney damage is routinely assessed semiquantitatively by scoring the amount of fibrosis and tubular atrophy in a renal biopsy sample. Although image digitization and morphometric techniques can better quantify the extent of histologic damage, we need more widely applicable way...

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Detalles Bibliográficos
Autores principales: Kolachalama, Vijaya B., Singh, Priyamvada, Lin, Christopher Q., Mun, Dan, Belghasem, Mostafa E., Henderson, Joel M., Francis, Jean M., Salant, David J., Chitalia, Vipul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Translational Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932308/
https://www.ncbi.nlm.nih.gov/pubmed/29725651
http://dx.doi.org/10.1016/j.ekir.2017.11.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932308/
https://www.ncbi.nlm.nih.gov/pubmed/29725651
http://dx.doi.org/10.1016/j.ekir.2017.11.002

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