Diagnosis of Monkeypox Disease Using Transfer Learning and Binary Advanced Dipper Throated Optimization Algorithm

The virus that causes monkeypox has been observed in Africa for several years, and it has been linked to the development of skin lesions. Public panic and anxiety have resulted from the deadly repercussions of virus infections following the COVID-19 pandemic. Rapid detection approaches are crucial s...

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Veröffentlicht in:	Biomimetics (Basel, Switzerland) Jg. 8; H. 3; S. 313
Hauptverfasser:	Alharbi, Amal H., Towfek, S. K., Abdelhamid, Abdelaziz A., Ibrahim, Abdelhameed, Eid, Marwa M., Khafaga, Doaa Sami, Khodadadi, Nima, Abualigah, Laith, Saber, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.07.2023 MDPI
Schlagworte:	Accuracy Algorithms biological mechanism Classification COVID-19 Datasets Deep learning Diagnosis dipper throated optimization Epidemics feature selection Human monkeypox Lyme disease Medical imaging Medical research monkeypox detection Mpox Neural networks Pandemics Skin diseases Skin lesions Smallpox Transfer learning Vaccines Viral infections United States deep learning monkeypox detection transfer learning biological mechanism dipper throated optimization feature selection
ISSN:	2313-7673, 2313-7673
Online-Zugang:	Volltext
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