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

PaperCitations, authors & open-access status

Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 47 citations, 2020 year and hybrid oa status.

47
Citations
2020
Year
hybrid
OA Status

Related on ScholarIQ

Stephan Jonas
Author
3D Printing in Biomedical Research
Topic
3D Printing in Biomedical Research
Topic
Pluripotent Stem Cells Research
Topic
Cell Image Analysis Techniques
Topic
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