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What is Monkeypox Detection via Attention Mechanism about?

The document presents an attention-based MobileNetV2 model designed for the rapid and accurate detection of monkeypox, leveraging deep learning techniques suitable for deployment on edge devices. It addresses the challenges of prolonged diagnostic timelines and symptom similarities with other skin diseases by enhancing the Monkeypox Skin Images Dataset and incorporating attention mechanisms for improved accuracy. The model achieved impressive results, outperforming baseline models with accuracies of 92.28%

Author

cowaket871

Language

EN