Fundamentals of digital image processing
Fundamentals of digital image processing
Algorithms for Image Processing and Computer Vision
Algorithms for Image Processing and Computer Vision
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Analysis of Crohn's disease lesions in capsule endoscopy images
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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The inflammatory bowel diseases (IBD) are severe, chronic and recurring disorders, requiring continuous patient monitoring. We aim to develop computerized methods for the noninvasive assessment of the bowel inflammation based on ultrasound images. In this work, we study the role of the textural parameters in characterizing different types of inflammatory bowel diseases and the colorectal tumors. Also, the time intensity curves (TIC) are post processed through mathematical modeling, in order to emphasize the behavior of the contrast agent for the considered affections. The relevant textural and TIC parameters are determined through specific methods, and then they are assessed individually and in combination for performing automatic diagnosis. B-mode and contrast-enhanced ultrasound images (CEUS) of biopsied patients are used. The information obtained from the endoscopic images is taken into consideration, as well. The patients were suffering from the following diseases: Crohn's disease, ulcerative recto-colitis, colon cancer.