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...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Nature Portfolio
2024-10-01
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| Serie: | Scientific Reports |
| Ämnen: | |
| Länkar: | https://doi.org/10.1038/s41598-024-73219-9 |
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