Yun-Long Li

GhostCell-Net: A Lightweight Deep Learning Framework with Mobile Deployment for Automated Classification of Arsenic-Exposed Cells

INTRODUCTION: Chronic arsenic exposure from contaminated drinking water remains a critical public health concern, particularly in regions that rely on private wells. Accurate assessment of the impact of arsenic on cellular morphology requires computational tools that are both effective and accessible outside centralise...