Fundamentals of digital image processing
Fundamentals of digital image processing
Digital image processing
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
An mean shift based gray level co-occurrence matrix for endoscope image diagnosis
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
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Accumulating evidence suggests that characteristics of pre-treatment FDG-PET could be used as prognostic factors to predict outcomes in different cancer sites. Current risk analyses are limited to visual assessment or direct uptake value measurements. We are investigating intensity-volume histogram metrics and shape and texture features extracted from PET images to predict patient's response to treatment. These approaches were demonstrated using datasets from cervix and head and neck cancers, where AUC of 0.76 and 1.0 were achieved, respectively. The preliminary results suggest that the proposed approaches could potentially provide better tools and discriminant power for utilizing functional imaging in clinical prognosis.