2019
DOI: 10.1200/cci.18.00157
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HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

Abstract: PURPOSE 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 la… Show more

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Cited by 241 publications
(191 citation statements)
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“…For robust implementation, it is useful to: 1. detect when slides fail to meet its minimum quality; 2. provide some measure of confidence in its predictions; 3. be free of single points of failure (i.e., modular enough to tolerate failure of some sub-components); 4. be somewhat explainable, such that an expert pathologist can understand its limitations, common failure modes, and what the model seems to rely on in making decisions. Algorithms for measuring image quality and detecting artifacts will play an important role in the clinical implementation of CTA 53 .…”
Section: Characteristics Of Cta Algorithms That Capture Clinical Guidmentioning
confidence: 99%
“…For robust implementation, it is useful to: 1. detect when slides fail to meet its minimum quality; 2. provide some measure of confidence in its predictions; 3. be free of single points of failure (i.e., modular enough to tolerate failure of some sub-components); 4. be somewhat explainable, such that an expert pathologist can understand its limitations, common failure modes, and what the model seems to rely on in making decisions. Algorithms for measuring image quality and detecting artifacts will play an important role in the clinical implementation of CTA 53 .…”
Section: Characteristics Of Cta Algorithms That Capture Clinical Guidmentioning
confidence: 99%
“…A total of 459 curated WSIs (125 H&E, 125 PAS, 102 SIL, 107 TRI) from 125 MCD renal biopsies were used. 49 Not all cases had all stains available in the digital pathology repository. Four WSIs were selected for each patient (1 WSI per stain).…”
Section: Case and Image Dataset Selectionmentioning
confidence: 99%
“…slides or on the scanned image 69 . In the context of clinical research, HistoQC is currently being evaluated in NEPTUNE, CureGN and Kidney Precision Medicine Project (KPMP) for curation of the image dataset prior to experimental analysis (TAble 1).…”
Section: Physical Abstraction Layermentioning
confidence: 99%