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Morphology-based features for adaptive mitosis detection of in vitro stem cell tracking data
T. Becker,
A. Madany
*
*
Corresponding author for this work
Institute of Medical and Marine Biotechnology
Graduate School for Computing in Medicine and Live Science
Fraunhofer Institute for Marine Biotechnology
4
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Biochemistry, Genetics and Molecular Biology
Stem Cell
100%
Cell Growth
100%
Reconstruction
50%
Cell Cycle
50%
Mitosis
50%
Gaussian Distribution
50%
Kernel Method
50%
Medicine and Dentistry
Stem Cell
100%
In Vitro
100%
Cell Growth
100%
Cell Population
100%
Adult Stem Cell
50%
Neuroscience
Stem Cell
100%
In Vitro
100%
Cell Cycle
50%
Engineering
Stem Cell
100%
Regenerative Medicine
50%
Gaussians
50%
Computer Science
Tracking Data
100%
Machine Learning
66%