Skip to main navigation
Skip to search
Skip to main content
University of Luebeck Home
English
Deutsch
Home
Research Units
Experts
Publications
Projects
Datasets
Prizes
Spin-Offs
Activities
Media
Search by expertise, name or affiliation
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
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Morphology-based features for adaptive mitosis detection of in vitro stem cell tracking data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Biochemistry, Genetics and Molecular Biology
Cell Cycle
50%
Cell Growth
100%
Gaussian Distribution
50%
Kernel Method
50%
Mitosis
50%
Reconstruction
50%
Stem Cell
100%
Medicine and Dentistry
Adult Stem Cell
50%
Cell Growth
100%
Cell Population
100%
In Vitro
100%
Stem Cell
100%
Neuroscience
Cell Cycle
50%
In Vitro
100%
Stem Cell
100%
Engineering
Gaussians
50%
Regenerative Medicine
50%
Stem Cell
100%
Computer Science
Machine Learning
66%
Tracking Data
100%