Paper ID: 2406.19162

Single Image Estimation of Cell Migration Direction by Deep Circular Regression

Lennart Bruns, Lucas Lamparter, Milos Galic, Xiaoyi Jiang

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.

Submitted: Jun 27, 2024