In English

Presentationsinformation     2007-03-12 (15:15)   •  The seminar room at Vi2

Talare Laszlo Nyul
Kommentar Friedrich-Alexander University of Erlangen-Nuremberg
Typ External presentation
Titel Retina Image Analysis for Screening Examinations
Sammanfattning Many eye diseases cause noticeable loss of vision only at an advanced stage, when curing is difficult or no longer possible. The main objective of our research project is to develop automatic image analysis methods to classify glaucoma and other eye diseases in order to make early diagnosis and treatment possible. Input images are acquired by different modalities (such as color fundus photographs or topography images from confocal scanning laser tomography) and show different features that should be combined for classification. First, multimodal input images have to be registered, corrected for illumination artifacts and the intensity values should be normalized. Then, regions of interest (e.g., the optic nerve head and blood vessels) can be segmented for direct feature measurements (e.g., sizes, distances, shape descriptors) or for appearance-based analysis. Finally, the extracted features and prior expert-knowledge can be used for classification and computation of risk factors.