| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958247 | Computer Methods and Programs in Biomedicine | 2017 | 11 Pages |
Abstract
This study demonstrated that our proposed methodology can improve the computer assisted diagnosis (CAD) performance by incorporating more discriminative features. Using orthogonalized SPHARM is promising in computerized cyst detection and may have a significant impact in future CAD systems.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato,