CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
Samreen Anjum, Danna Gurari
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.
Topics & Concepts
BenchmarkingTracking (education)Computer scienceArtificial intelligenceMachine learningData miningPedagogyMarketingBusinessPsychologyVideo Surveillance and Tracking MethodsIndoor and Outdoor Localization TechnologiesSingle-cell and spatial transcriptomics