💻 computer science
A Image Transformer-based Streaming Framework for Variable-Length Flap Perfusion Monitoring with Dynamic State Tracking
The paper presents FlapFlowNet, a Transformer-based streaming framework that achieves high-accuracy, real-time perfusion monitoring for variable-length flap surgery sequences by combining a lightweight CNN, temporal modeling, and a medical-optimized loss function to significantly reduce critical false-negative rates.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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