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Lung Cancer Pathological Image Analysis Using a Hidden Potts Model
Nowadays, many biological data are acquired via images. In this article, we study the pathological images scanned from 205 patients with lung cancer with the goal to find out the relationship between the survival time and the spatial distribution of different types of cells, including lymphocyte, st...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462552/ https://www.ncbi.nlm.nih.gov/pubmed/28615918 http://dx.doi.org/10.1177/1176935117711910 |