title: An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy.
abstract: Today 95% of all gastrointestinal carcinomas are believed to arise from adenomas. The early detection of adenomas could prevent their evolution to cancer. A novel system for the support of the detection of adenomas in gastrointestinal video endoscopy is presented. Unlike other systems, it accepts standard low-resolution video input thus requiring less computational resources and facilitating both portability and the potential to be used in telemedicine applications. It combines intelligent processing techniques of SVMs and color-texture analysis methodologies into a sound pattern recognition framework. Concerning the system's accuracy this was measured using ROC analysis and found to exceed 94%.
authors.affiliation: Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Illisia, 15784 Athens, Greece. rtsimage@di.uoa.gr
authors.forename: Dimitris K
authors.initials: DK
authors.lastname: Iakovidis
authors.forename: Dimitris E
authors.initials: DE
authors.lastname: Maroulis
authors.forename: Stavros A
authors.initials: SA
authors.lastname: Karkanis
mesh_terms: D000236:Adenoma / Q000175:diagnosis*; D001185:Artificial Intelligence; D003111:Colonic Polyps / Q000175:diagnosis*; D003658:Decision Making, Computer-Assisted; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D020776:Endoscopes, Gastrointestinal; D005103:Expert Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008838:Microcomputers; D011127:Polyps / Q000175:diagnosis*; D012984:Software; D013274:Stomach Neoplasms / Q000175:diagnosis*; D014741:Video Recording / Q000295:instrumentation*