Weng, Zhilong ORCID: 0009-0002-0321-9406, Seper, Alexander, Pryalukhin, Alexey, Mairinger, Fabian, Wickenhauser, Claudia, Bauer, Marcus, Glamann, Lennert ORCID: 0009-0006-2462-0951, Bläker, Hendrik, Lingscheidt, Thomas, Hulla, Wolfgang, Jonigk, Danny ORCID: 0000-0002-5251-2281, Schallenberg, Simon, Bychkov, Andrey ORCID: 0000-0002-4203-5696, Fukuoka, Junya, Braun, Martin, Schömig-Markiefka, Birgid ORCID: 0000-0003-1893-8796, Klein, Sebastian ORCID: 0000-0002-2188-9377, Thiel, Andreas, Bozek, Katarzyna ORCID: 0000-0002-0917-6876, Netto, George J., Quaas, Alexander ORCID: 0000-0002-3537-6011, Büttner, Reinhard ORCID: 0000-0001-8806-4786 and Tolkach, Yuri ORCID: 0000-0001-5239-2841 (2024). GrandQC: A comprehensive solution to quality control problem in digital pathology. Nature Communications, 15 (1). pp. 1-12. Springer Nature. ISSN 2041-1723

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Identification Number:10.1038/s41467-024-54769-y

Abstract

[Artikel-Nr.: 10685] 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 segmentation of tissue without artifacts (Dice score 0.919–0.938 dependent on magnification). Slides from 19 international pathology departments digitized with the most common scanning systems and from The Cancer Genome Atlas dataset were used to establish a QC benchmark, analyzing inter-institutional, intra-institutional, temporal, and inter-scanner slide quality variations. GrandQC improves the performance of downstream image analysis algorithms. We open-source the GrandQC tool, our large manually annotated test dataset, and all QC masks for the entire TCGA cohort to address the problem of QC in digital/computational pathology. GrandQC can be used as a tool to monitor sample preparation and scanning quality in pathology departments and help to track and eliminate major artifact sources.

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Weng, Zhilong
UNSPECIFIED
UNSPECIFIED
Seper, Alexander
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Pryalukhin, Alexey
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Mairinger, Fabian
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Wickenhauser, Claudia
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Bauer, Marcus
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Glamann, Lennert
UNSPECIFIED
UNSPECIFIED
Bläker, Hendrik
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Lingscheidt, Thomas
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Hulla, Wolfgang
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Jonigk, Danny
UNSPECIFIED
UNSPECIFIED
Schallenberg, Simon
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Bychkov, Andrey
UNSPECIFIED
UNSPECIFIED
Fukuoka, Junya
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Braun, Martin
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Schömig-Markiefka, Birgid
UNSPECIFIED
UNSPECIFIED
Klein, Sebastian
UNSPECIFIED
UNSPECIFIED
Thiel, Andreas
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Bozek, Katarzyna
UNSPECIFIED
UNSPECIFIED
Netto, George J.
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Quaas, Alexander
UNSPECIFIED
UNSPECIFIED
Büttner, Reinhard
UNSPECIFIED
UNSPECIFIED
Tolkach, Yuri
UNSPECIFIED
UNSPECIFIED
URN: urn:nbn:de:hbz:38-816122
Identification Number: 10.1038/s41467-024-54769-y
Journal or Publication Title: Nature Communications
Volume: 15
Number: 1
Page Range: pp. 1-12
Number of Pages: 12
Date: 16 December 2024
Publisher: Springer Nature
ISSN: 2041-1723
Language: English
Faculty: Central Institutions / Interdisciplinary Research Centers
Faculty of Medicine
Divisions: CECAD - Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases
Faculty of Medicine > Medizinische Statistik und Bioinformatik > Institut für Medizinische Statistik und Bioinformatik � IMSB
Faculty of Medicine > Pathologie und Neuropathologie > Institut für Pathologie
Zentrum für Molekulare Medizin
Subjects: Medical sciences Medicine
['eprint_fieldname_oa_funders' not defined]: Publikationsfonds UzK
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/81612

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