%0 Book Section
%T An Application for Efficient Error-Free Labeling of Medical Images
%A Michal Drozdzal
%A Santiago Segui
%A Petia Radeva
%A Carolina Malagelada
%A Fernando Azpiroz
%A Jordi Vitria
%B Multimodal Interaction in Image and Video Applications
%D 2013
%V 48
%I Springer Berlin Heidelberg
%@ 1868-4394
%@ 978-3-642-35931-6
%F Michal Drozdzal2013
%O MILAB; OR;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2235), last updated on Thu, 23 Jan 2014 13:12:54 +0100
%X In this chapter we describe an application for efficient error-free labeling of medical images. In this scenario, the compilation of a complete training set for building a realistic model of a given class of samples is not an easy task, making the process tedious and time consuming. For this reason, there is a need for interactive labeling applications that minimize the effort of the user while providing error-free labeling. We propose a new algorithm that is based on data similarity in feature space. This method actively explores data in order to find the best label-aligned clustering and exploits it to reduce the labeler effort, that is measured by the number of “clicks. Moreover, error-free labeling is guaranteed by the fact that all data and their labels proposals are visually revised by en expert.
%U http://refbase.cvc.uab.es/files/DSR2013.pdf
%U http://dx.doi.org/10.1007/978-3-642-35932-3_1
%P 1-16