Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

Inconsistencies in the preparation of histology slides and whole‐slide images (WSIs) may lead to challenges with subsequent image analysis and machine learning approaches for interrogating the WSI. These variabilities are especially pronounced in multicenter cohorts, where batch effects (i.e. system...

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Veröffentlicht in:	The Journal of pathology 2021-03, Vol.253 (3), p.268-278
Hauptverfasser:	Chen, Yijiang, Zee, Jarcy, Smith, Abigail, Jayapandian, Catherine, Hodgin, Jeffrey, Howell, David, Palmer, Matthew, Thomas, David, Cassol, Clarissa, Farris, Alton B, Perkinson, Kathryn, Madabhushi, Anant, Barisoni, Laura, Janowczyk, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms batch effects Biopsy computational pathology Computer applications computer vision digital pathology Humans Image Interpretation, Computer-Assisted - methods Image Interpretation, Computer-Assisted - standards Image processing inter‐reader variability kidney biopsies Kidney Diseases - diagnosis Learning algorithms Machine learning Nephrotic syndrome NEPTUNE Pathology Pathology, Surgical - methods Pathology, Surgical - standards Quality Control Statistical analysis whole‐slide image
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