Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel in...
Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form of an early detection mechanism increases the chances of successful treatment and survival, as early diagnosis promptly of...
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Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation
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TN_cdi_doaj_primary_oai_doaj_org_article_c18e4551514c43418a36d1d8151e6c27
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c18e4551514c43418a36d1d8151e6c27
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-80260-1
