Few-Shot Learning of Lung Tumor Grading from Intraoperative OCT Imaging

Abstract

We present an intelligent optical coherence tomography system integrated with few-shot learning for intraoperative lung tumor grading. The system enables real-time classification of normal, benign, and invasive adenocarcinoma tissues using limited labeled data with promising accuracy.