CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells

CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells

The fundamental basis in the development of novel radiotherapy methods is in-vitro cellular studies. To assess different endpoints of cellular reactions to irradiation like proliferation, cell cycle arrest, and cell death, several assays are used in radiobiological research as standard methods. For...

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Bibliographic Details
Main Authors: Sarah Rudigkeit, Julian B. Reindl, Nicole Matejka, Rika Ramson, Matthias Sammer, Günther Dollinger, Judith Reindl
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
cell-tracking
deep-learning
radiobiology
lifecycle analysis
phase-contrast microscopy
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.688333/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.688333/full

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