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Tumor Spheres Quantification with Smoothed Euclidean Distance Transform
Tumor sphere quantification plays an important role in cancer research and drugs screening. Even though the number and size of tumor spheres can be found manually, this process is time-consuming, prone to making errors, and may not be viable when the number of images is very large. This manuscript p...
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| Publicado no: | J Mol Imaging Dyn |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6179360/ https://ncbi.nlm.nih.gov/pubmed/30319887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4172/2155-9937.1000143 |
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