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Ultrasound Plaque Segmentation Network by ohhliushenao is a document available to read on EtoBox.

The document presents the Refined Feature-based Multi-frame and Multi-scale Fusing Gate Network (RMFG_Net) for accurate segmentation of carotid plaques in ultrasound videos, addressing challenges like confusing backgrounds and blurry boundaries. The proposed method captures spatial and temporal features from consecutive frames, achieving real-time processing at 68 frames per second and demonstrating superior performance compared to existing methods. Extensive experiments validate the effectiveness of the mo

Author

ohhliushenao

Language

EN