CTMC: Cell Tracking With Mitosis Detection Dataset Challenge

Samreen Anjum, Danna Gurari; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 982-983

Abstract


While significant developments have been made in cell tracking algorithms, current datasets are still limited in size and diversity, especially for data-hungry generalized deep learning models. We introduce a new larger and more diverse cell tracking dataset in terms of number of sequences, length of sequences, and cell lines, accompanied with a public evaluation server and leaderboard to accelerate progress on this new challenging dataset. Our benchmarking of four top performing tracking algorithms highlights new challenges and opportunities to improve the state-of-the-art in cell tracking.

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[bibtex]
@InProceedings{Anjum_2020_CVPR_Workshops,
author = {Anjum, Samreen and Gurari, Danna},
title = {CTMC: Cell Tracking With Mitosis Detection Dataset Challenge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}