[Forschungsseminar-BSV] Forschungsseminar Computergrafik, Bildverarbeitung und Visualisierung

[Vanessa Kretzschmar]

E I N L A D U N G

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zum Forschungsseminar 'Computergrafik, Bildverarbeitung und Visualisierung'

     am Mittwoch, den 12. Oktober 2022, 13:15 Uhr,
     im Raum SG 3-10 im Seminargebäude an der Universitätsstraße.

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Wir hören einen Vortrag von

     Lucas Peter

mit dem Titel:

     'Predicting Stroke Lesions from CT Imaging and Clinical Information 
using UNets'

zum Inhalt:

     Strokes are one of the leading causes of disability worldwide. The
     resulting disabilities are caused by regions of abnormal brain tissue
     that are a result of a blockage in the blood circulation of the brain.
     To accurately and effectively treat these abnormalities, a precise
     prediction of where the lesion will form is of huge benefit, as 
medical
     personnel would be able to more effectively determine which parts 
of the
     brain need to be recanalized. One approach to generate these 
predictions
     that has gained popularity recently, has been to use Artificial Neural
     Networks, that are trained on Magnetic resonance imaging (MRI)- or
     computer tomography (CT)-Scans of patients. Such an approach is 
presented
     here in this work. Specifically, a type of Convolutional Neural 
Network
     called a UNet is trained on a comparatively large dataset and 
different
     values for multiple hyperparameters are tested and their efficacy is
     compared. In doing so, a model is trained that generates results that
     are comparable to the state-of-the-art in multiple performance 
metrics.
     Furthermore, the importance of the used imaging and auxiliary clinical
     modalities is determined and a novel technique to generate the 
salvageable
     tissue is discussed.

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Alle Interessierten sind im Namen von Professor Dr. Scheuermann herzlich
eingeladen.

Mit freundlichen Grüßen
Vanessa Kretzschmar
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