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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jafaridarabjerdi Mahin, Xuezhu Xu, Ling Li, Cong Zhang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-10-01
Schriftenreihe:Scientific Reports
Schlagworte:
Skin cancer
Convolutional neural network
Social spider optimization
Gamma classifier
Online-Zugang:https://doi.org/10.1038/s41598-024-73219-9
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