Diagnosing skin cancer using social spider optimization (SSO) and error correcting output codes (ECOC) with weighted hamming distance

Abstract Skin cancer is a common disease resulting from genetic defects, and early detection is critical to improve treatment outcomes. Diagnostic programs that use computer aid especially those that use supervised learning are very useful in early diagnosis of skin cancer. This research therefore p...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Jafaridarabjerdi Mahin, Xuezhu Xu, Ling Li, Cong Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-10-01
Serie:	Scientific Reports
Soggetti:	Skin cancer Convolutional neural network Social spider optimization Gamma classifier
Accesso online:	https://doi.org/10.1038/s41598-024-73219-9
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!