# Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-multi-class-segmentation-for-automated-non-invasive-routine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tobias Piotrowski,Oliver Rippel,Andreas Elanzew,Bastian Nießing,Sebastian Stucken,Sven Jung,Niels König,Simone Haupt,Laura Stappert,Oliver Brüstle,Robert Schmitt,Stephan Jonas |
| Citations | 47 |
| DOI | 10.1016/j.compbiomed.2020.104172 |
| Fields | Biochemistry, Genetics and Molecular Biology,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0010482520305035/pdf |
| OpenAlex ID | https://openalex.org/W3111406602 |
| PMID | 33352307 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Stephan Jonas](https://scholariq.org/researchers/stephan-jonas/)

## Paper primary topic

- [3D Printing in Biomedical Research](https://scholariq.org/topics/3d-printing-in-biomedical-research/)

## Paper topics

- [3D Printing in Biomedical Research](https://scholariq.org/topics/3d-printing-in-biomedical-research/)
- [Pluripotent Stem Cells Research](https://scholariq.org/topics/pluripotent-stem-cells-research/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
