CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
Samreen Anjum(The University of Texas at Austin), Danna Gurari(The University of Texas at Austin)
Cited by 36
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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