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The process of finding diseases and abnormalities during live medical examinations has for a long time depended mostly on the medical personnel, with a limited amount of computer support. However, computer-based medical systems are currently emerging in domains like endoscopies of the gastrointestinal (GI) tract. In this context, we aim for a system that enables automatic analysis of endoscopy videos,...
Exploring and annotating collections of images without meta-data is a laborious task. Visual analytics and information visualization can help users by providing interfaces for exploration and annotation. In this paper, we show a prototype application that allows users from the medical domain to use feature-based clustering to perform explorative browsing and annotation in an unsupervised manner. For...
Analysis of medical videos for detection of abnormalities like lesions and diseases requires both high precision and recall but also real-time processing for live feedback during standard colonoscopies and scalability for massive population based screening, which can be done using a capsular video endoscope. Existing related work in this field does not provide the necessary combination of detection...
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