Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958158 | Computer Methods and Programs in Biomedicine | 2017 | 13 Pages |
Abstract
The proposed techniques can automatically find the location of tumors in the lung, reconstruct the volume, and calculate changes in volume before and after treatment, thus obtaining an innovative survival prediction index. This will help facilitate early and accurate predictions of disease outcomes during the course of therapy, and categorize patient stratification into risk groups for more efficient therapies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Chung-Feng Jeffrey Kuo, Bo-Han Ke, Nain-Ying Wu, Joseph Kuo, Hsian-He Hsu,