Name
Abstract | ||
|---|---|---|
We present a fully automatic system for identifying osteophytes on knee radiographs, and for estimating the widely used Kellgren-Lawrence (KL) grade for Osteoarthritis (OA). We have compared three advanced modelling and texture techniques. We found that a Random Forest trained using Haar-features achieved good results, but the optimal results are obtained by combining shape modelling and texture features. The system achieves the best reported performance for identifying osteophytes (AUC: 0.85), for measuring KL grades and for classifying OA (AUC: 0.93), with an error rate half that of the previous best method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-47157-0_6 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Medical image analysis,Computer-aided diagnosis | Conference | 10019 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessie Thomson | 1 | 11 | 1.79 |
| Terence O'Neill | 2 | 1 | 0.35 |
| David Felson | 3 | 1 | 0.35 |
| Timothy F. Cootes | 4 | 4358 | 579.15 |