TY  - CONF
AU  - Sergio Escalera
AU  - Oriol Pujol
AU  - J. Mauri
AU  - Petia Radeva
A2  - CVPR
PY  - 2008//
TI  - IVUS Tissue Characterization with Sub-class Error-correcting Output Codes
BT  - Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008.
N2  - Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on Radio Frequency, texture-based, slope-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different subsets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers and feature sets.
UR  - http://dx.doi.org/10.1109/CVPRW.2008.4563021
N1  - MILAB;HuPBA
ID  - Sergio Escalera2008
ER  -