Computational segmentation and classification of diabetic glomerulosclerosis

B Ginley, B Lutnick, KY Jen, AB Fogo… - Journal of the …, 2019 - journals.lww.com
Background Pathologists use visual classification of glomerular lesions to assess samples
from patients with diabetic nephropathy (DN). The results may vary among pathologists.
Digital algorithms may reduce this variability and provide more consistent image structure
interpretation. Methods We developed a digital pipeline to classify renal biopsies from
patients with DN. We combined traditional image analysis with modern machine learning to
efficiently capture important structures, minimize manual effort and supervision, and enforce …