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Deep Reinforcement Learning for Data Association in Cell Tracking
Accurate target detection and association are vital for the development of reliable target tracking, especially for cell tracking based on microscopy images due to the similarity of cells. We propose a deep reinforcement learning method to associate the detected targets between frames. According to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161216/ https://www.ncbi.nlm.nih.gov/pubmed/32328484 http://dx.doi.org/10.3389/fbioe.2020.00298 |