English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Medical imaging is an important tool for the diagnosis and the evaluation ofan aortic dissection (AD); a serious condition of the aorta, which could leadto a life-threatening aortic rupture. AD patients need life-long medicalmonitoring of the aortic enlargement and of the disease progression, subsequentto the diagnosis of the aortic dissection. Since there is a lack of'healthy-dissected' image pairs from medical studies, the application ofinpainting techniques offers an alternative source for generating them by doinga virtual regression from dissected aortae to healthy aortae; an indirect wayto study the origin of the disease. The proposed inpainting tool combines aneural network, which was trained on the task of inpainting aortic dissections,with an easy-to-use user interface. To achieve this goal, the inpainting toolhas been integrated within the 3D medical image viewer of StudierFenster(www.studierfenster.at). By designing the tool as a web application, wesimplify the usage of the neural network and reduce the initial learning curve.

Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images