Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status.
Tobias PiotrowskiOliver RippelAndreas ElanzewBastian NießingSebastian StuckenSven JungNiels KönigSimone HauptLaura StappertOliver BrüstleRobert H. SchmittStephan JonasPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- multi class
- deep learning
- stem cell
- support vector machine
- unsupervised learning
- multi class classification
- level set
- multiple classes
- machine learning
- image segmentation
- segmentation algorithm
- multi class classifier
- segmentation method
- pairwise
- feature selection
- object detection
- mental models
- multiscale
- error correcting output codes
- energy function
- shape prior
- high dimensional
- weakly supervised
- similarity measure