Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection

A resurgent zoonotic disease called monkeypox presents serious public health issues, especially in locations with low resources where prompt and correct diagnosis is essential. Due to the health shortcomings in sensitivity, specificity, and adaptability to different clinical presentations, tradition...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.187367-187385
Hauptverfasser:	Saleh, Hager, Mostafa, Sherif, Ismail, Alshimaa H., Srivastava, Sumit, Hamood Alsamhi, Saeed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Data models Datasets Diseases early diagnosis Feature extraction healthcare Lesions Monkeypox Mpox Particle swarm optimization Public health Residual neural networks Skin support vector machine Support vector machines swin transformer swin-PSO-SVM Testing Transformers
Online-Zugang:	Volltext
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