HIGHLIGHTS
- who: Yoshimasa Kawazoe and collaborators from the Artificial Intelligence in Healthcare, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan have published the research: Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy, in the Journal: Diagnostics 2022, 2955 of /2022/
- what: In the past decade, the number of studies aiming to develop deep learning applications for nephropathology has increased rapidly. Based on these two points, the authors propose an automated computational pipeline to detect the glomeruli from periodic acid-Schiff . . .
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