HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

2019348 citationsJournal Article

Authors

Andrew Janowczyk · Case Western Reserve University

Ren Zuo · Case Western Reserve University

Hannah Gilmore · University Hospitals of Cleveland

Michael D. Feldman · University of Pennsylvania

Anant Madabhushi · Louis Stokes Cleveland VA Medical Center

Abstract

These results suggest that HistoQC could provide an automated, quantifiable, quality control process for identifying artefacts and measuring slide quality, in turn helping to improve both the repeatability and robustness of DP workflows.

Topics & Keywords

AI in cancer detection Cell Image Analysis Techniques Digital Imaging for Blood Diseases

Publication Details

Published in: JCO Clinical Cancer Informatics

Volume 3, Issue 3, pp. 1-7

DOI: 10.1200/cci.18.00157

Field-Weighted Citation Impact: 22.58

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HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

Authors

Abstract

Topics & Keywords

Publication Details