Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution

arXiv:2404.16814v1 Announce Type: cross
Abstract: Addressing the challenges of rare diseases is difficult, especially with the limited number of reference images and a small patient population. This is more evident in rare skin diseases, where we encounter long-tailed data distributions that make it difficult to develop unbiased and broadly effective models. The diverse ways in which image datasets are gathered and their distinct purposes also add to these challenges. Our study conducts a detailed examination of the benefits and drawbacks …

abstract arxiv challenges classification cs.cv cs.lg data diagnosis disease diseases distribution few-shot few-shot learning images meta patient population rare diseases reference small transfer transfer learning type