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Chapter and Conference Paper
Automatische Qualitätsmessung von Retina-Fundusbildern
Zur frühzeitigen Diagnose von Erkrankungen am Augenhintergrund existieren automatische Bildverarbeitungsmethoden. Für die Effektivität solcher Verfahren und für die ärztliche Bewertung ist die Bildqualität der...
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Chapter and Conference Paper
Optimierte Segmentierung der Papille in HRT-Retinaaufnahmen
Der Papillenrand ist ein entscheidendes Merkmal zur Erkennung von krankhaften Veränderungen am Augenhintergrund. Zur Auswertung ist eine Segmentierung nötig, die meist manuell durch den Augenarzt vorgenommen w...
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Chapter and Conference Paper
Beam Hardening Correction with an Iterative Scheme Using an Exact Backward Projector and a Polychromatic Forward Projector
In computed tomography (CT), reconstructions from cone-beam (CB) data acquired with a polychromatic X-ray device show so called beam hardening artifacts. Beam hardening artifacts are highly undesirable for a m...
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Chapter and Conference Paper
Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification
Early detection of glaucoma is essential for preventing one of the most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photog...
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Chapter and Conference Paper
Classifying Glaucoma with Image-Based Features from Fundus Photographs
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not possible early detection and pr...