The Pytorch implementation for our paper 'Label-Guided-Teacher-for-Surgical-Phase-Recognition-via-Knowledge-Distillation', accepted at International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI2024).
In this work, we propose a novel label-guided teacher network for surgical phase recognition based on knowledge distillation. We introduce label embedding-frame feature cross-attention transformer and supervised contrastive learning to learn a better label-guided teacher network,which can better integrate the label embedding with the frame feature.
If this repository is useful for your research, please cite:
@inproceedings{guan2024label,
title={Label-Guided Teacher for Surgical Phase Recognition via Knowledge Distillation},
author={Guan, Jiale and Zou, Xiaoyang and Tao, Rong and Zheng, Guoyan},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={349--358},
year={2024},
organization={Springer}
}
Some of code in this work is modified from Trans-SVNet.