European Heart Journal - Digital Health
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 OCT-AID-lite, a neural network for near real-time multi-class OCT segmentation leveraging knowledge distillation and semi-supervised learning to accelerate inference while maintaining segmentation ac …