Quality control stress test for deep learning-based diagnostic model in digital pathology
Quality control stress test for deep learning-based diagnostic model in digital pathology
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections’ thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study, we digitally reproduce m...
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Full title
Quality control stress test for deep learning-based diagnostic model in digital pathology
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8592835
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8592835
Other Identifiers
ISSN
0893-3952
E-ISSN
1530-0285
DOI
10.1038/s41379-021-00859-x
