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- W4386963422 abstract "Monkeypox, a viral zoonosis, may spread from animals to people. Fever, rashes, and swollen lymph nodes might create medical complications. Its symptoms resemble smallpox. To prevent monkey pox sickness, you must be prepared and treat it immediately. Public health systems should be aware of effective monkeypox mitigation methods because to its global health impacts. Watershed segmentation using CNN-based auto encoder detected monkeypox. Monkeypox may be distinguished from other skin infections. Watershed segmentation, elevation map utilisingsobel, and region-based feature extraction function well on impacted skin photos. Segmenting Monekypox images is tough due to similarities and variations across classes and the difficulties of focusing on skin lesions. Unsupervised learning models like the convolutional autoencoder duplicate the input image in the output layer. Encoders, ConvNets that produce low-dimensional images, process images passed via them." @default.
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- W4386963422 date "2023-08-31" @default.
- W4386963422 modified "2023-09-29" @default.
- W4386963422 title "Monkeypox Detection Through Watershed Segmentation and Appending 2D CNN Based Auto Encoder" @default.
- W4386963422 doi "https://doi.org/10.17762/ijritcc.v11i9s.7472" @default.
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