A Hybrid Framework for Mpox Diagnosis and Severity Assessment via Symptom Classification and Skin Lesion Segmentation
Md Jewel, Karim Mohammed Rezaul, Kazy Noor e Alam Siddiquee, Md Shabiul Islam, Tajnuva Jannat
Monkeypox has re-emerged as a global health concern, demanding diagnostic solutions that reflect the complex clinical presentation of the disease. Traditional machine learning and deep learning approaches often isolate either symptom-based or image-based analysis, limiting …
Keywords: Monkeypox, Mpox, MPXV, Skin Lesion, Artificial Intelligence, Deep Learning, CNN.