Automated Erythrocyte Detection and Tracking for Retinal Blood Flow Quantification in Erythrocyte-Mediated Angiography
Researchers have developed EMTrack, a new framework designed to automate the detection and tracking of erythrocytes in erythrocyte-mediated angiography (EMA) for quantifying retinal blood flow. The framework includes a flow-context module for improved erythrocyte detection and a topology-aware tracking strategy to handle complex motion. To support this work, a new dataset called RBF-EMA has been created with detailed annotations for erythrocyte detection and tracking. AI
IMPACT This research could lead to more accurate and automated methods for diagnosing ocular diseases through retinal blood flow analysis.