A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Automatic Detection of Pre-ocular Tear Film Break-Up Sequence in Dry Eyes
DICTA '08 Proceedings of the 2008 Digital Image Computing: Techniques and Applications
Enforcing Monotonic Temporal Evolution in Dry Eye Images
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Automation of the tear film break-up time test
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Automatic classification of the interferential tear film lipid layer using colour texture analysis
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
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Dry eye syndrome is affecting a remarkable percentage of population. The prevalence is 10-15% of normal population, and 18-30% of contact lenses users. The break-up time (BUT) is a clinical test used for the diagnosis of this disease. In this work, we perform an analysis of parameters for a global and a local automatic computation of the BUT measure, based on criteria of specificity and sensitivity. We have tested our methodology on a dataset composed of 18 videos annotated by 4 different experts. The local analysis preserves the results of the global approach providing useful additional information about the break-up tear zone.