Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning
Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning
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Publisher
New York: Elsevier Inc
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Language
English
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Publisher
New York: Elsevier Inc
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Scope and Contents
Contents
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and treatment of lesions via regular cervical screening have led to a drastic reduction in the mortality rate. However, the routine examination of screening as a regular health checkup of women is characterized as time-consuming and labor-intensive, whil...
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Full title
Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning
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TN_cdi_proquest_miscellaneous_2485520670
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2485520670
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ISSN
0023-6837
E-ISSN
1530-0307
DOI
10.1038/s41374-021-00537-1
