2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-P6.10
Session:Biomedical Imaging I
Time:Monday, September 17, 14:30 - 17:10
Presentation: Poster
Title: LUNG NODULE DETECTION USING EYE-TRACKING
Authors: Michela Antonelli; University of Pisa 
 Guang-Zhong Yang; Imperial College London 
Abstract: This paper describes a decision support system for determining salient features for CT lung nodule detection using an eye-tracking based machine learning technique. The method first analyses the scan paths of expert radiologists during normal examination. The underlying features are then used to highlight salient regions that may be of diagnostic relevance by merging visual features learned from different experts with a weighted probability function. The framework has been evaluated using data from CT lung nodule examination and the results demonstrate the potential clinical value of the proposed technique, which can also be generalized to other diagnostic applications.



©2016 Conference Management Services, Inc. -||- email: webmaster@icip2007.com -||- Last updated Friday, August 17, 2012