Table 2 Quantitative performance metrics of FC segmentation on the held-out test set, including PPV, NPV, sensitivity, specificity, accuracy, and Dice coefficient. Our method demonstrates highly consistent segmentation results between the cross-validation and held-out test sets, highlighting the remarkable generalizability of the proposed approach.

From: Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images