Fig. 1

Framework of the proposed DFA-Net for coronary vessel segmentation in X-ray angiography, in which an original DSA image and its improved result by CIET are fed into ResUNet++ respectively, followed by the aggregation of dual multi-scale features, and the segmentation is acquired accordingly. The model is optimized by minimizing the joint risk cross-entropy loss and Dice loss synchronously