Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958205 | Computer Methods and Programs in Biomedicine | 2017 | 14 Pages |
Abstract
Conclusions: Although the problem of performing semi-automated ACL-injury diagnosis by observing knee-joint MR volumes alone is a difficult one, experimental results suggest potential clinical application of computer-aided decision making, both for detecting milder injuries and detecting complete ruptures.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Ivan Å tajduhar, Mihaela Mamula, Damir MiletiÄ, Gözde Ãnal,