TEMory, a model featuring a Temporal Encoder and Memory Unit, designed for weakly supervised colonic polyp frame detection with a comprehensive understanding of normal frame characteristics.
[ChineseCSCW'24 Accept (Short Paper)] TEmory: A Temporal-Memory Approach to Weakly Supervised Colonic Polyp Frame Detection
If you use the dataset, please also consider citing the papers below:
@inproceedings{ma2021ldpolypvideo,
title={Ldpolypvideo benchmark: A large-scale colonoscopy video dataset of diverse polyps},
author={Ma, Yiting and Chen, Xuejin and Cheng, Kai and Li, Yang and Sun, Bin},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={387--396},
year={2021},
organization={Springer}
}@article{borgli2020hyperkvasir,
title={HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy},
author={Borgli, Hanna and Thambawita, Vajira and Smedsrud, Pia H and Hicks, Steven and Jha, Debesh and Eskeland, Sigrun L and Randel, Kristin Ranheim and Pogorelov, Konstantin and Lux, Mathias and Nguyen, Duc Tien Dang and others},
journal={Scientific data},
volume={7},
number={1},
pages={1--14},
year={2020},
publisher={Nature Publishing Group}
}