%0 Conference Proceedings
%T Enhancing In-Vitro IVUS Data for Tissue Characterization
%A Francesco Ciompi
%A Oriol Pujol
%A O. Rodriguez-Leor
%A Carlo Gatta
%A Angel Serrano
%A Petia Radeva
%B 4th Iberian Conference on Pattern Recognition and Image Analysis
%D 2009
%V 5524
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-02171-8
%F Francesco Ciompi2009
%O MILAB;HuPBA
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1162), last updated on Tue, 17 Dec 2013 12:53:06 +0100
%X 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%.
%U http://dx.doi.org/10.1007/978-3-642-02172-5_32
%P 241–248