Ant Colony and Whale Optimization Algorithms Aided by Neural Networks for Optimum Skin Lesion Diagnosis: A Thorough Review

The adoption of deep learning (DL) and machine learning (ML) has surged in recent years because of their imperative practicalities in different disciplines. Among these feasible workabilities are the noteworthy contributions of ML and DL, especially ant colony optimization (ACO) and whale optimizati...

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Veröffentlicht in:	Mathematics (Basel) Jg. 12; H. 7; S. 1049
Hauptverfasser:	Mukhlif, Yasir Adil, Ramaha, Nehad T. A., Hameed, Alaa Ali, Salman, Mohammad, Yon, Dong Keon, Fitriyani, Norma Latif, Syafrudin, Muhammad, Lee, Seung Won
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2024
Schlagworte:	Accuracy Algorithms Ant colony optimization ant colony optimization (ACO) Artificial intelligence Cetacea Classification Clinical outcomes Comparative analysis Decision making Deep learning Dermatology Efficiency feature selection Forecasts and trends Lesions Machine learning Mathematical optimization Medical imaging equipment Neural networks neural networks (NNs) Optimization algorithms Peer review Skin skin lesion disorder (SLD) whale optimization algorithm (WOA)
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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