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

Research article (Computers in Biology and Medicine, 2020) · cited 46× · AI/ML
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Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status

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Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-multi-class-segmentation-for-automated-non-invasive-routine-assessment-of-human-pluripotent-stem-cel
MLA “Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-multi-class-segmentation-for-automated-non-invasive-routine-assessment-of-human-pluripotent-stem-cel.
BibTeX @misc{4ortxyz_deep-learning-based-multi-class-segmentation-for-automated-non-invasive-routine-assessment-of-human-pluripotent-stem-cel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-multi-class-segmentation-for-automated-non-invasive-routine-assessment-of-human-pluripotent-stem-cel}, note = {Accessed: 2026-05-24}}
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