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...

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Detalles Bibliográficos
Autores principales: Li, Qianyun, Yi, Faliu, Wang, Tao, Xiao, Guanghua, Liang, Faming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Original Research
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462552/
https://www.ncbi.nlm.nih.gov/pubmed/28615918
http://dx.doi.org/10.1177/1176935117711910

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