TY  - CHAP
AU  - Michal Drozdzal
AU  - Santiago Segui
AU  - Petia Radeva
AU  - Carolina Malagelada
AU  - Fernando Azpiroz
AU  - Jordi Vitria
PY  - 2013//
TI  - An Application for Efficient Error-Free Labeling of Medical Images
BT  - Multimodal Interaction in Image and Video Applications
SP  - 1
EP  - 16
VL  - 48
PB  - Springer Berlin Heidelberg
N2  - 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.
SN  - 1868-4394
SN  - 978-3-642-35931-6
L1  - http://refbase.cvc.uab.es/files/DSR2013.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-35932-3_1
N1  - MILAB; OR;MV
ID  - Michal Drozdzal2013
ER  -