Dynamic Prototype Memory Network for Robust Multiclass Skin Lesion Diagnosis from Dermoscopic Images

Background

Automated skin lesion diagnosis from dermoscopic images is challenging because lesions of the same disease can vary substantially visually, while visually similar patterns can occur across different disease categories. This article introduces a Dynamic Prototype Memory Network (DPM-Net) for multiclass skin lesion classification.