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Classifying Stem Cell Differentiation Images by Information ...
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由 X Zhang 著作2012被引用 5 次 — In this paper, we introduced a novel Information Distance Classification (IDC) method, requiring no segmentation or feature extraction; hence no DNA staining is ...
Classifying Stem Cell Differentiation Images by Information ...
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由 X Zhang 著作2012被引用 5 次 — In this paper, we introduced a novel Information Distance Classification (IDC) method, requiring no segmen- tation or feature extraction; hence no DNA staining ...
Classifying Stem Cell Differentiation Images by Information ...
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2024年11月21日 — In this paper, we introduced a novel Information Distance Classification (IDC) method, requiring no segmentation or feature extraction; hence no ...
[PDF] Classifying Stem Cell Differentiation Images by Information ...
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This paper introduced a novel Information Distance Classification (IDC) method, requiring no segmentation or feature extraction; hence no DNA staining is ...
Classifying Stem Cell Differentiation Images by Information ...
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Classifying Stem Cell Differentiation Images by Information Distance · List of references · Publications that cite this publication.
Computer-Aided 2D and 3D quantification of human stem ...
ScienceDirect.com
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由 KM Piltti 著作2011被引用 13 次 — In this study, we have created protocols for high performance image analysis software Volocity® to classify and quantify cytoplasmic and nuclear cell fate ...
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Noninvasive, label-free image approaches to predict ...
Nature
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由 R Akiyoshi 著作2024 — In this study, we employed a novel method to monitor the pluripotency of stem cells through image analysis, avoiding the traditionally used invasive procedures.
Use of Texture Classification To Quantify Stem Cell ...
Stanford CS229: Machine Learning
https://cs229.stanford.edu › proj2013 › Pai-Useof...
Stanford CS229: Machine Learning
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由 S Pai 著作被引用 1 次 — This microscope gives relatively high-resolution phase contrast images of cell proliferation. The goal of the experiments is to monitor stem cell growth and.
Evaluating Differentiation Status of Mesenchymal Stem ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
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由 Y Kong 著作2023被引用 6 次 — To investigate the individual cells, image segmentation and classification can be achieved using machine learning. Machine learning methods have been widely ...
Recent Advances in Monitoring Stem Cell Status and ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 W Kim 著作2022被引用 8 次 — Raman Spectroscopy for Imaging Stem Cell Differentiation. Raman spectroscopy can be used to add image contrast to visualizing structures and dynamics in ...
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