2 papers
cs.CV2026
Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification
Mehedi Hasan Tusar, Fateme Fayyazbakhsh, Igor Melnychuk +1
Accurate wound classification (WC) and boundary segmentation are essential for guiding clinical decisions in chronic and acute wound management. However, most existing artificial i…
eess.IV2025
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
Rafiul Islam, Jihad Khan Dipu, Mehedi Hasan Tusar
With over 2 million new cases identified annually, skin cancer is the most prevalent type of cancer globally and the second most common in Bangladesh, following breast cancer. Earl…