Name
Title | ||
|---|---|---|
On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms. |
Abstract | ||
|---|---|---|
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due to the required human workload. This work proposes a novel technique for the automatic segmentation of cardiac fat pads. The technique is based on applying classcation algorithms to the segmentation of cardiac CT images. Furthermore, we extensively evaluate the performance of several algorithms on this task and discuss which provided better predictive models. Experimental results have shown that the mean accuracy for the classification of epicardial and mediastinal fats has been 98.4% with a mean true positive rate of 96.2%. On average, the Dice similarity index, regarding the segmented patients and the ground truth, was equal to 96.8%. Therfore, our technique has achieved the most accurate results for the automatic segmentation of cardiac fats, to date. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-564-7-726 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Segmentation,Classification,Epicardial fat,Mediastinal fat,Adipose tissue,Computed tomography,Data mining,Cardiac fat | Health risk,Data mining,Workload,Segmentation,Clinical Practice,Ground truth,Adipose tissue,Statistical classification,True positive rate,Medicine | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| e o rodrigues | 1 | 27 | 4.50 |
| Felipe Fernandes Cordeiro de Morais | 2 | 0 | 0.34 |
| Aura Conci | 3 | 222 | 32.26 |