2024
DOI: 10.1371/journal.pone.0302169
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Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Nadezhda Koriakina,
Nataša Sladoje,
Vladimir Bašić
et al.

Abstract: The current medical standard for setting an oral cancer (OC) diagnosis is histological examination of a tissue sample taken from the oral cavity. This process is time-consuming and more invasive than an alternative approach of acquiring a brush sample followed by cytological analysis. Using a microscope, skilled cytotechnologists are able to detect changes due to malignancy; however, introducing this approach into clinical routine is associated with challenges such as a lack of resources and experts. To design… Show more

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