Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence

Monkeypox (Mpox) resurfaced in January 2022 as a rare zoonotic disease that spreads to many countries. Though the virus is not dangerous COVID-19, it has still caused fatalities worldwide. The Mpox when people are close contact with infected individuals. Among symptoms, also causes skin rashes, and medical imaging can be used diagnose successfully. However, other diseases such smallpox, chickenpox, measles cause similar rashes. Hence, artificial intelligence (AI) machine learning (ML) highly beneficial diagnosing from diseases. After extensive model training, advantageous use standard camera capture images of an patient run against deep (DL) models. In this research, we have transfer models residual networks SqueezeNet measles, chickenpox healthy patients. An average accuracy 91.19% F1-score 92.55% were obtained for class. findings show useful detecting contagious virus. Since classifiers easily deployable, they on camera-ready devices phones laptops.