Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations
Autor: | Vasan, Ritvik, Rowan, Meagan P., Lee, Christopher T., Johnson, Gregory R., Rangamani, Padmini, Holst, Michael |
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Rok vydání: | 2019 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular simulations: reconstruction and segmentation of cellular structures; generation of cellular structures; and mesh generation, simulation, and data analysis. We highlight some of the relevant prior work in these distinct but overlapping areas, with a particular emphasis on current use of machine learning technologies, as well as on future opportunities. |
Databáze: | arXiv |
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