Name
Abstract | ||
|---|---|---|
•A review about 3D automatic detection of pulmonary nodules in CT images is presented.•Tasks, tools, public image databases and strategies are introduced.•The integration with related data systems is taking into account.•The techniques found are discussed and possible advances are identified.•This review is interesting both for researchers and health professionals. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.cmpb.2015.10.006 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
3D image segmentation,Computer-aided detection systems,Lung cancer,Pulmonary nodules,Medical image analysis | Computer vision,Data system,Computer science,Medical diagnostic,Segmentation,Communications system,Artificial intelligence,False positive paradox,Diagnostic tools | Journal |
Volume | Issue | ISSN |
124 | C | 0169-2607 |
Citations | PageRank | References |
10 | 0.58 | 44 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Igor Rafael S. Valente | 1 | 10 | 0.58 |
| Paulo CéSar Cortez | 2 | 82 | 8.67 |
| Edson Cavalcanti Neto | 3 | 19 | 1.08 |
| José Marques Soares | 4 | 10 | 0.91 |
| Victor Hugo C. de Albuquerque | 5 | 914 | 83.30 |
| João Manuel R. S. Tavares | 6 | 603 | 62.85 |