Multi-class plaque segmentation in Intravascular Ultrasound via inter-frame feature fusion and contrast feature extraction
Abstract: Highlights•A new framework resulting in the SOTA multi-class plaque segmentation outcomes.•The inter-frame feature fusion mechanism for utilizing inter-frame information.•Introducing contrastive learning to distinguish different types of plaques better.•Our proposed framework achieves a Dice score of 84.79%.
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