Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy

Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy

The histopathological findings of the glomeruli from whole slide images (WSIs) of a renal biopsy play an important role in diagnosing and grading kidney disease. This study aimed to develop an automated computational pipeline to detect glomeruli and to segment the histopathological regions inside of...

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Bibliographic Details
Main Authors: Yoshimasa Kawazoe, Kiminori Shimamoto, Ryohei Yamaguchi, Issei Nakamura, Kota Yoneda, Emiko Shinohara, Yukako Shintani-Domoto, Tetsuo Ushiku, Tatsuo Tsukamoto, Kazuhiko Ohe
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
computer vision
deep learning
digital pathology
whole slide imaging (WSI)
object detection
segmentation
Online Access:https://www.mdpi.com/2075-4418/12/12/2955

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