Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT

no code implementations • 7 Jun 2023 • Haoran Zhang, Jianlong Yang, Jingqian Zhang, Shiqing Zhao, Aili Zhang

Nonuniform rotational distortion (NURD) correction is vital for endoscopic optical coherence tomography (OCT) imaging and its functional extensions, such as angiography and elastography.

Annotation-efficient learning for OCT segmentation

1 code implementation • 6 May 2023 • Haoran Zhang, Jianlong Yang, Ce Zheng, Shiqing Zhao, Aili Zhang

Compared to the widely-used U-Net model with 100% training data, our method only requires ~10% of the data for achieving the same segmentation accuracy, and it speeds the training up to ~3. 5 times.

Segmentation