| Autor: |
Muniteja, M., Bee, M. K. Mariam |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2853 Issue 1, p1-7, 7p |
| Abstrakt: |
The primary objective of this study is to evaluate the performance of Convolutional Neural Network (CNN) and Adaptive Neuro Fuzzy Inference System (ANFIS) in improving the accuracy with which they detect and identify skin cancer (ANFIS). Substances and Techniques: The data was downloaded from UCI's public database. Group 1 uses a Convolutional Neural Network trained on 20 Melanoma photos and compares it to Group 2's Adaptive Neuro Fuzzy Inference System for melanoma identification (Group 2). For a g-power of 80%, a 0.05-point margin of error is considered acceptable. The results show that the suggested system, which makes use of CNN, outperforms ANFIS, which only succeeds 86% of the time, at a significance level of 0.001. The results of the CNN classifier were much better than those of the other classifier within the scope of the investigation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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