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Human embryonic stem cell classification: random network with autoencoded feature extractor
Significance: Automated understanding of human embryonic stem cell (hESC) videos is essential for the quantified analysis and classification of various states of hESCs and their health for diverse applications in regenerative medicine. Aim: This paper aims to develop an ensemble method and bagging o...
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| Publicado no: | J Biomed Opt |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8084167/ https://ncbi.nlm.nih.gov/pubmed/33928769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.26.5.052913 |
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