GrandQC: A comprehensive solution to quality control problem in digital pathology

GrandQC: A comprehensive solution to quality control problem in digital pathology

Abstract Histological slides contain numerous artifacts that can significantly deteriorate the performance of image analysis algorithms. Here we develop the GrandQC tool for tissue and multi-class artifact segmentation. GrandQC allows for high-precision tissue segmentation (Dice score 0.957) and seg...

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Main Authors: Zhilong Weng, Alexander Seper, Alexey Pryalukhin, Fabian Mairinger, Claudia Wickenhauser, Marcus Bauer, Lennert Glamann, Hendrik Bläker, Thomas Lingscheidt, Wolfgang Hulla, Danny Jonigk, Simon Schallenberg, Andrey Bychkov, Junya Fukuoka, Martin Braun, Birgid Schömig-Markiefka, Sebastian Klein, Andreas Thiel, Katarzyna Bozek, George J. Netto, Alexander Quaas, Reinhard Büttner, Yuri Tolkach
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-54769-y
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https://doi.org/10.1038/s41467-024-54769-y

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