PT Unknown
AU Francesco Ciompi
   Rui Hua
   Simone Balocco
   Marina Alberti
   Oriol Pujol
   Carles Caus
   Josepa Mauri
   Petia Radeva
TI Learning to Detect Stent Struts in Intravascular Ultrasound
BT 6th Iberian Conference on Pattern Recognition and Image Analysis
PY 2013
BP 575
EP 583
VL 7887
DI 10.1007/978-3-642-38628-2_68
AB 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% .
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