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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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| Publicado no: | Kidney Int Rep |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5932308/ https://ncbi.nlm.nih.gov/pubmed/29725651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ekir.2017.11.002 |
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