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Automatic Oral Cancer Detection Using Improved Honey Badger Algorithm-Based Feature Selection

<b>Background/Objectives:</b> Oral cancer is one of the most common types of cancer, with high mortality rates if not detected early. Traditional diagnostic methods based on clinical examination rely on experience, leading to delays in early and reliable diagnosis. In recent years, medical imaging a...

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Autori principali: Nebras Sobahi, Yagmur Olmez, Osman Fatih Koparır, Muammer Turkoglu, Adalet Çelebi, Yazyd Alghamedi, Abdulkadir Şengür
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-06-01
Serie:Diagnostics
Soggetti:
oral cancer
feature selection
honey badger algorithm
histopathologic image
Accesso online:https://www.mdpi.com/2075-4418/16/13/1969
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