TY  - CONF
AU  - Francesco Ciompi
AU  - Oriol Pujol
AU  - O. Rodriguez-Leor
AU  - Carlo Gatta
AU  - Angel Serrano
AU  - Petia Radeva
A2  - IbPRIA
PY  - 2009//
TI  - Enhancing In-Vitro IVUS Data for Tissue Characterization
T2  - LNCS
BT  - 4th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 241–248
VL  - 5524
PB  - Springer Berlin Heidelberg
N2  - Intravascular Ultrasound (IVUS) data validation is usually performed by comparing post-mortem (in-vitro) IVUS data and corresponding histological analysis of the tissue, obtaining a reliable ground truth. The main drawback of this method is the few number of available study cases due to the complex procedure of histological analysis. In this work we propose a novel semi-supervised approach to enhance the in-vitro training set by including examples from in-vivo coronary plaques data set. For this purpose, a Sequential Floating Forward Selection method is applied on in-vivo data and plaque characterization performances are evaluated by Leave-One-Patient-Out cross-validation technique. Supervised data inclusion improves global classification accuracy from 89.39% to 91.82%.
SN  - 0302-9743
SN  - 978-3-642-02171-8
UR  - http://dx.doi.org/10.1007/978-3-642-02172-5_32
N1  - MILAB;HuPBA
ID  - Francesco Ciompi2009
ER  -