Name
Title | ||
|---|---|---|
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography. |
Abstract | ||
|---|---|---|
We investigate the influence of the clinical context of high-resolution computed tomography (HRCT) images of the chest on tissue classification.2D regions of interest in HRCT axial slices from patients affected with an interstitial lung disease are automatically classified into five classes of lung tissue. Relevance of the clinical parameters is studied before fusing them with visual attributes. Two multimedia fusion techniques are compared: early versus late fusion. Early fusion concatenates features in one single vector, yielding a true multimedia feature space. Late fusion consisting of the combination of the probability outputs of two support vector machines.The late fusion scheme allowed a maximum of 84% correct predictions of testing instances among the five classes of lung tissue. This represents a significant improvement of 10% compared to a pure visual-based classification. Moreover, the late fusion scheme showed high robustness to the number of clinical parameters used, which suggests that it is appropriate for mining clinical attributes with missing values in clinical routine. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.artmed.2010.04.006 | Artificial Intelligence In Medicine |
Keywords | Field | DocType |
clinical routine,clinical parameter,multimodal information fusion,contextual image analysis,clinical attribute,clinical information,multimedia fusion technique,feature ranking,late fusion,early fusion concatenates feature,late fusion scheme,clinical context,interstitial lung disease,wavelet-based texture analysis,lung tissue,interstitial lung diseases,high-resolution computed tomography,lung tissue classification,support vector machines,computer-aided diagnosis,image analysis,support vector machine | Computer vision,Feature vector,Pattern recognition,Computer science,Support vector machine,Computer-aided diagnosis,Fusion,Robustness (computer science),Interstitial lung disease,Artificial intelligence,Missing data,High-resolution computed tomography | Journal |
Volume | Issue | ISSN |
50 | 1 | 1873-2860 |
Citations | PageRank | References |
19 | 1.03 | 23 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrien Depeursinge | 1 | 418 | 38.83 |
| Daniel Racoceanu | 2 | 198 | 24.30 |
| Jimison Iavindrasana | 3 | 106 | 8.91 |
| Gilles Cohen | 4 | 170 | 10.76 |
| Alexandra Platon | 5 | 142 | 12.05 |
| Pierre-Alexandre Poletti | 6 | 102 | 9.07 |
| Henning Müller | 7 | 2538 | 218.89 |