Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification

arXiv:2406.05677v1 Announce Type: new
Abstract: In the medical field, managing high-dimensional massive medical imaging data and performing reliable medical analysis from it is a critical challenge, especially in resource-limited environments such as remote medical facilities and mobile devices. This necessitates effective dataset compression techniques to reduce storage, transmission, and computational cost. However, existing coreset selection methods are primarily designed for natural image datasets, and exhibit doubtful effectiveness when applied to medical image datasets due to challenges such as intra-class variation …

abstract analysis arxiv challenge classification compression computational cost cs.cv data dataset devices environments evolution facilities image imaging massive medical medical field medical imaging mobile mobile devices reduce storage type variance