01 / MOTIVATION
Why this work matters
Visually similar skin conditions can be difficult to differentiate in images; model explanations can help examine what a classifier attends to.
An interpretable attention-guided model for distinguishing MPox from visually similar skin conditions.
02 / METHODOLOGY
Research approach
The proposed attention-guided fusion network uses Grad-CAM visualization to interpret MPox skin-lesion classifications.
03 / CONTRIBUTIONS
Main contribution
Hybrid attention-guided image classification with Grad-CAM explanations for MPox skin lesions.
Consult the complete publication for numerical findings and experimental qualifications.
04 / PUBLICATION
Read the paper
Mithila Arman, Naheyan Prottush, Maher Ali Rusho, Arup Datta, Anirban Saha Anik, Din Mohammad Dohan, Md. Ashiq Ul Islam Sajid, Intezab Alam Sheikh, and Md. Khurshid Jahan. (2025). A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification. IEEE International Conference on Machine Intelligence (ICMI 2025).