Near real-time multi-class segmentation for intravascular optical coherence tomography using knowledge distillation
Abstract Aims Intravascular optical coherence tomography (OCT) enables high-resolution imaging of the coronary vessel wall, but manual image interpretation is time-consuming and existing automated approaches often require high computational resources and exhibit slow inference times, limiting clinical use. We developed...