A Hierarchical Deep Learning Framework for Nuclei 3D Reconstruction from Microscopic Stack-Images of 3D Cancer Cell Culture-Reference-Cited by-同舟云学术

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A Hierarchical Deep Learning Framework for Nuclei 3D Reconstruction from Microscopic Stack-Images of 3D Cancer Cell Culture

Published:2023 Issue: Volume: Page:225-235
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
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Author:

Maylaa Tarek,Windal Feryal,Benhabiles Halim,Maubon Gregory,Maubon Nathalie,Vandenhaute Elodie,Collard Dominique

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7663-6_22

Reference29 articles.

1. Kapałczyńska, M., Kolenda, T., Przybyła, W., Zajączkowska, M., Teresiak, A., Filas, V., Ibbs, M., Bliźniak, R., Łuczewski, Ł, Lamperska, K.: Archives of medical science? AMS 14(4), 910 (2018). https://doi.org/10.5114/aoms.2016.63743, https://ncbi.nlm.nih.gov/pmc/articles/PMC6040128/

2. Habanjar, O., Diab-Assaf, M., Caldefie-Chezet, F., Delort, L.: Int. J. Mole. Sci. 22(22), 12200 (2021)

3. Graf, B.W., Boppart, S.A.: Live Cell Imaging. In: D.B. Papkovsky (ed.) Methods in Molecular Biology, vol. 591, pp. 211–227. Humana Press, Totowa, NJ, 2010. https://doi.org/10.1007/978-1-60761-404-3_13, http://link.springer.com/10.1007/978-1-60761-404-3_13

4. Hollandi, R., Moshkov, N., Paavolainen, L., Tasnadi, E., Piccinini, F., Horvath, P.: Trends in Cell Biology, p. S0962892421002518 (2022). https://doi.org/10.1016/j.tcb.2021.12.004, https://linkinghub.elsevier.com/retrieve/pii/S0962892421002518

5. Caicedo, J.C., Goodman, A., Karhohs, K.W., Cimini, B.A., Ackerman, J., Haghighi, M., Heng, C., Becker, T., Doan, M., McQuin, C., Rohban, M., Singh, S., Carpenter, A.E.: Nat. Methods 16(12), 1247 (2019)

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