Name
Abstract | ||
|---|---|---|
An automated, computer-aided diagnosis (CAD) algorithm for the quantification of pneumothoraces from Multidetector Computed Tomography (MDCT) images has been developed. Algorithm performance was evaluated through comparison to manual segmentation by expert radiologists. A combination of two-dimensional and three-dimensional processing techniques was incorporated to reduce required processing time by two-thirds (as compared to similar techniques). Volumetric measurements on relative pneumothorax size were obtained and the overall performance of the automated method shows an average error of just below 1%. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/736320 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Keywords | Field | DocType |
retrospective studies,algorithms,automation | CAD,Computer vision,Pneumothorax,Computer science,Segmentation,Automation,Artificial intelligence,Computed tomography,Radiology,Radiographic Image Enhancement | Journal |
Volume | ISSN | Citations |
2012 | 1748-670X | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Synho Do | 1 | 94 | 12.86 |
| Kristen Salvaggio | 2 | 0 | 0.34 |
| Supriya Gupta | 3 | 0 | 0.34 |
| Mannudeep Kalra | 4 | 144 | 14.28 |
| Nabeel U Ali | 5 | 0 | 0.34 |
| Homer Pien | 6 | 44 | 6.48 |