Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment
Numerous image processing techniques have been developed for the identification of various types of skin lesions. In real-world scenarios, the specific lesion type is often unknown in advance, leading to a multi-class prediction challenge. The available evidence underscores the importance of employi...
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| Main Authors: | Paulauskaite-Taraseviciene Agne, Sutiene Kristina, Dimsa Nojus, Valiukeviciene Skaidra |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-09-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.61822/amcs-2024-0041 |
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