| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958238 | Computer Methods and Programs in Biomedicine | 2017 | 29 Pages |
Abstract
Numerous proposed image features were significant in distinguishing glioblastomas from lower-grade gliomas. Combining them further into a malignancy prediction model would be promising in providing diagnostic suggestions for clinical use.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Kevin Li-Chun Hsieh, Chung-Ming Lo, Chih-Jou Hsiao,