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
|
PDF
s41467-024-54769-y.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution. Download (3MB) |
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 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 Bläker, Hendrik UNSPECIFIED UNSPECIFIED UNSPECIFIED Lingscheidt, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED Hulla, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Schallenberg, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Fukuoka, Junya UNSPECIFIED UNSPECIFIED UNSPECIFIED Braun, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Thiel, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Netto, George J. UNSPECIFIED 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 |
Downloads
Downloads per month over past year
Altmetric
Export
Actions (login required)
![]() |
View Item |
https://orcid.org/0009-0002-0321-9406