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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-06-01
|
| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/1176935117711910 |