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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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Medicine and Dentistry
Adult Stem Cell
33%
Analysis
33%
Cell Growth
66%
Cells
100%
Evaluation
33%
In Vitro
100%
Stem Cell
100%
Computer Science
Machine Learning
50%
Tracking Data
100%
Engineering
Dataset
25%
Gaussians
25%
Production
25%
Regenerative Medicine
25%
Biochemistry, Genetics and Molecular Biology
Gaussian Distribution
33%
Kernel Method
33%
Reconstruction
33%