Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often surpassing dermatologists in diagnostic accuracy. However, optimizing CNN architectures for clinical application...

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Bibliographic Details
Main Authors: Pamela Hermosilla, Ricardo Soto, Eric Monfroy, Emanuel Vega, Lucas Erazo, Valentina Guzman
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Grey Wolf optimizer
multi-objective optimization
convolutional neural network
melanoma detection
Online Access:https://ieeexplore.ieee.org/document/11106473/
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