Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF). OOF is often only detected upon careful review, potentially causing rescanning and workflow delays. Although scan-time operator screening for whole-slide OOF is feasible...
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Full title
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
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TN_cdi_proquest_journals_2167521116
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2167521116
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1901.04619
