%0 Conference Proceedings
%T Learning to Detect Stent Struts in Intravascular Ultrasound
%A Francesco Ciompi
%A Rui Hua
%A Simone Balocco
%A Marina Alberti
%A Oriol Pujol
%A Carles Caus
%A Josepa Mauri
%A Petia Radeva
%B 6th Iberian Conference on Pattern Recognition and Image Analysis
%D 2013
%V 7887
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-38627-5
%F Francesco Ciompi2013
%O MILAB; HuPBA; 605.203; 600.046
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2349), last updated on Thu, 10 Nov 2016 12:01:09 +0100
%X In this paper we tackle the automatic detection of struts elements (metallic braces of a stent device) in Intravascular Ultrasound (IVUS) sequences. The proposed method is based on context-aware classification of IVUS images, where we use Multi-Class Multi-Scale Stacked Sequential Learning (M2SSL). Additionally, we introduce a novel technique to reduce the amount of required contextual features. The comparison with binary and multi-class learning is also performed, using a dataset of IVUS images with struts manually annotated by an expert. The best performing configuration reaches a F-measure F = 63.97% .
%U http://dx.doi.org/10.1007/978-3-642-38628-2_68
%P 575-583