Single Image Estimation of Cell Migration Direction by Deep Circular Regression
<|reference_start|>Single Image Estimation of Cell Migration Direction by Deep Circular Regression: In this paper we study the problem of estimating the migration direction of cells based on a single image. To the best of our knowledge, there is only one related work that uses a classification CNN for four classes (quadrants). This approach does not allow detailed directional resolution. We solve the single image estimation problem using deep circular regression with special attention to cycle-sensitive methods. On two databases we achieve an average accuracy of $\sim$17 degrees, which is a significant improvement over the previous work.<|reference_end|>
@article{bruns2024single,
    title={Single Image Estimation of Cell Migration Direction by Deep Circular
  Regression},
    author={Lennart Bruns, Lucas Lamparter, Milos Galic, Xiaoyi Jiang},
    journal={arXiv preprint arXiv:2406.19162},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.19162},
    primaryClass={cs.CV}
}