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Automatic Segmentation and Supervised Learning-Based Selection of Nuclei in Cancer Tissue Images

Analysis of preferential localization of certain genes within the cell nuclei is emerging as a new technique for the diagnosis of breast cancer. Quantitation requires accurate segmentation of 100–200 cell nuclei in each tissue section to draw a statistically significant result. Thus, for large-scale...

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Bibliografske podrobnosti
izdano v:Cytometry A
Main Authors: Nandy, Kaustav, Gudla, Prabhakar R., Amundsen, Ryan, Meaburn, Karen J., Misteli, Tom, Lockett, Stephen J.
Format: Artigo
Jezik:Inglês
Izdano: 2012
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6362837/
https://ncbi.nlm.nih.gov/pubmed/22899462
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22097
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