| Title | HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Authors | Janowczyk, A, Zuo R, Gilmore H, Feldman M, Madabhushi A |
| Journal | JCO clinical cancer informatics |
| Volume | 3 |
| Pagination | 1-7 |
| Date Published | 2019 04 |
| ISSN | 2473-4276 |
| Keywords | Humans, Neoplasms, Pathology, Molecular, Quality Control, Reproducibility of Results, Software, User-Computer Interface, Workflow |
| Abstract | Digital pathology (DP), referring to the digitization of tissue slides, is beginning to change the landscape of clinical diagnostic workflows and has engendered active research within the area of computational pathology. One of the challenges in DP is the presence of artefacts and batch effects, unintentionally introduced during both routine slide preparation (eg, staining, tissue folding) and digitization (eg, blurriness, variations in contrast and hue). Manual review of glass and digital slides is laborious, qualitative, and subject to intra- and inter-reader variability. Therefore, there is a critical need for a reproducible automated approach of precisely localizing artefacts to identify slides that need to be reproduced or regions that should be avoided during computational analysis. |
| DOI | 10.1200/CCI.18.00157 |
| PDF Link | |
| Alternate Journal | JCO Clin Cancer Inform |
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