Name
Abstract | ||
|---|---|---|
Lumbar intervertebral disc diseases are among the main causes of lower back pain (LBP). Desiccation is a common disease resulting from various reasons and ultimately most people are affected by desiccation at some age. We propose a probabilistic model that incorporates intervertebral disc appearance and contextual information for automating the diagnosis of lumbar disc desiccation. We utilize a Gibbs distribution for processing localized lumbar intervertebral discs' appearance and contextual information. We use 55 clinical T2-weighted MRI for lumbar area and achieve over 96% accuracy on a cross validation experiment. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISBI.2009.5193105 | ISBI |
Keywords | Field | DocType |
pixel,gibbs distribution,context modeling,probability,mri,accuracy,cross validation,probabilistic model,magnetic resonance imaging | Contextual information,Computer-aided diagnosis,Back pain,Desiccation,Lumbar,Radiology,Intervertebral disc,Medicine,Magnetic resonance imaging | Conference |
Citations | PageRank | References |
10 | 1.19 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raja' S. Alomari | 1 | 167 | 16.03 |
| Corso Jason J. | 2 | 1442 | 92.44 |
| Vipin Chaudhary | 3 | 838 | 83.24 |
| Gurmeet Dhillon | 4 | 130 | 11.09 |