GrandQC: A comprehensive solution to quality control problem in digital pathology
Nature Communications, vol. 15, pp. 10685
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 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.
Authors 21
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Affiliation as printed
Danube Private University, 3500, Krems an der Donau, Austria
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Danube Private University · Universitätsklinikum Wiener Neustadt
Affiliation as printed
Institute of Pathology, University Hospital Wiener Neustadt / Danube Private University, 2700, Wiener Neustadt, Austria
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Essen University Hospital · Stiftung Universitätsmedizin Essen
Affiliation as printed
Institute of Pathology, University Hospital Essen, Essen, Germany
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University Hospital in Halle · Martin Luther University Halle-Wittenberg
Affiliation as printed
Institute of Pathology, University Hospital Halle, Martin Luther University Halle-Wittenberg, Halle (Salle), Germany
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University Hospital in Halle · Martin Luther University Halle-Wittenberg
Affiliation as printed
Institute of Pathology, University Hospital Halle, Martin Luther University Halle-Wittenberg, Halle (Salle), Germany
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University Hospital in Halle · Martin Luther University Halle-Wittenberg
Affiliation as printed
Institute of Pathology, University Hospital Halle, Martin Luther University Halle-Wittenberg, Halle (Salle), Germany
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Affiliation as printed
Institute of Pathology, University Hospital Leipzig, Leipzig, Germany
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Affiliation as printed
Institute of Pathology, University Hospital Leipzig, Leipzig, Germany
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Danube Private University · Universitätsklinikum Wiener Neustadt
Affiliation as printed
Institute of Pathology, University Hospital Wiener Neustadt / Danube Private University, 2700, Wiener Neustadt, Austria
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Universitätsklinikum Aachen · German Center for Lung Research
Affiliation as printed
German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
Institute of Pathology, University Hospital Aachen, Aachen, Germany
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Charité - Universitätsmedizin Berlin
Affiliation as printed
Institute of Pathology, University Hospital Charite, Berlin, Germany
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Kameda Medical Center · Nagasaki University Hospital
Affiliation as printed
Department of Pathology Informatics, University Hospital Nagasaki, Nagasaki, Japan
Kameda Medical Center, Tamogawa, Japan
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Kameda Medical Center · Nagasaki University Hospital
Affiliation as printed
Department of Pathology Informatics, University Hospital Nagasaki, Nagasaki, Japan
Kameda Medical Center, Tamogawa, Japan
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Affiliation as printed
MVZ Pathology and Cytology Rhein-Sieg, Troisdorf, Germany
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Affiliation as printed
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany
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Affiliation as printed
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany
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Affiliation as printed
MVZ Pathology Bethesda, Duisburg, Germany
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University of Cologne · Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · University Hospital Cologne
Affiliation as printed
Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Affiliation as printed
Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Pennsylvania, USA
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Affiliation as printed
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany
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Yuri Tolkach corresponding
Affiliation as printed
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany. yuri.tolkach@gmail.com
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany
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