Deep learning models could be crucial in battling the monkeypox virus MEDNTD_ MAHE_Manipal deeplearning machinelearning deeplearningmodels artificialintelligence AI monkeypox Mpox mpox virus viral
By Dr. Chinta SidharthanJun 14 2023Reviewed by Lily Ramsey, LLM In a recent study published in the Medicine in Novel Technology and Devices Journal, researchers used a large dataset comprising images of skin lesions from monkeypox patients to develop a machine-learning-based detection tool to detect mpox.
Along with fever, headaches, muscle pain, and swelling of lymph nodes, the disease also causes rashes and lesions on the palms, soles, and face and in the mucous membranes of the mouth and genital regions. About the study The present study developed a model based on deep learning methods to detect mpox using skin lesion images taken on regular smartphone cameras. The study aimed to use various deep learning methods, including AlexNet and GoogLeNet, to detect mpox accurately.
Results The results reported that of all the tested neural networks, the results from ResNet-18 had the highest accuracy .
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