Name
Title | ||
|---|---|---|
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks. |
Abstract | ||
|---|---|---|
•This work investigates a computational method for automatic lung segmentation.•This method uses a database of chest X-Ray from the Montgomery County’s Tuberculosis Control Program.•The proposed method addresses the problem of dense abnormalities in chest X-Ray images to reconstruct the segmentation.•The method uses two deep convolutional neural networks to perform lung segmentation in chest X-Ray images.•The method achieved 97.54% of sensitivity, 96.79% of specificity, 96.79% accuracy, and 94% of dice index on lung segmentation in chest X-Ray images. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cmpb.2019.06.005 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Lung segmentation,Lung reconstruction,Chest x-ray,Convolutional neural networks | Computer vision,Computer science,Sørensen–Dice coefficient,Segmentation,Convolutional neural network,Artificial intelligence,Jaccard index,Lung segmentation,Lung field,Deep neural networks | Journal |
Volume | ISSN | Citations |
177 | 0169-2607 | 8 |
PageRank | References | Authors |
1.04 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johnatan Carvalho Souza | 1 | 8 | 1.04 |
| João Otávio Bandeira Diniz | 2 | 19 | 4.29 |
| Jonnison Lima Ferreira | 3 | 10 | 3.08 |
| Giovanni Lucca França da Silva | 4 | 16 | 2.99 |
| Aristofanes C. Silva | 5 | 316 | 36.48 |
| Anselmo C. Paiva | 6 | 379 | 48.88 |