A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI...
A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Current artificial intelligence (AI) trends are revolutionizing medical image processing, greatly improving cervical cancer diagnosis. Machine learning (ML) algorithms can discover patterns and anomalies in medical images, whereas deep learning (DL) methods, specifically convolutional neural networks (CNNs), are extremely accurate at identifying ma...
Alternative Titles
Full title
A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides
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TN_cdi_doaj_primary_oai_doaj_org_article_a13c23414ea74533b33d0d5317a65e07
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a13c23414ea74533b33d0d5317a65e07
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-97719-4
