Name
Title | ||
|---|---|---|
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning. |
Abstract | ||
|---|---|---|
Computer-aided diagnosis (CAD) techniques for lung field segmentation from chest radiographs (CXR) have been proposed for adult cohorts, but rarely for pediatric subjects. Statistical shape models (SSMs), the workhorse of most state-of-the-art CXR-based lung field segmentation methods, do not efficiently accommodate shape variation of the lung field during the pediatric developmental stages. The m... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2019.2933508 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Lung,Shape,Spatial resolution,Diagnostic radiography,Strain,Image segmentation,Pediatrics | CAD,Pattern recognition,Computer science,Segmentation,Linear subspace,Artificial intelligence,Parameter space,Estimation theory,Deep learning,Recursion,Feature learning | Journal |
Volume | Issue | ISSN |
67 | 4 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Awais Mansoor | 1 | 68 | 12.49 |
| Juan J Cerrolaza | 2 | 115 | 17.01 |
| Geovanny F Perez | 3 | 3 | 1.43 |
| Elijah Biggs | 4 | 14 | 2.70 |
| Kazunori Okada | 5 | 452 | 31.51 |
| Gustavo Nino | 6 | 1 | 1.02 |
| Marius George Linguraru | 7 | 362 | 48.94 |