http://dbpedia.org/data/Studierfenster.atom 2025-01-01T15:49:18.113615Z http://dbpedia.org/resource/Studierfenster 2025-01-01T15:49:18.113615Z Studierfenster English 63745905 1124116093 StudierFenster Studierfenster.png 15926 StudierFenster The Studierfenster Logo Studierfenster or StudierFenster (SF) is a free, non-commercial open science client/server-based medical imaging processing online framework. It offers capabilities, like viewing medical data (computed tomography (CT), magnetic resonance imaging (MRI), etc.) in two- and three-dimensional space directly in standard web browsers, like Google Chrome, Mozilla Firefox, Safari, and Microsoft Edge. Other functionalities are the calculation of medical metrics (dice score and Hausdorff distance), manual slice-by-slice outlining of structures in medical images (segmentation), manual placing of (anatomical) landmarks in medical image data, viewing medical data in virtual reality, a facial reconstruction and registration of medical data for augmented reality, one click showcases for COVID-19 and veterinary scans, and a Radiomics module. Other features of Studierfenster are the automatic cranial implant design with a neural network, the inpainting of aortic dissections with a generative adversarial network and an automatic aortic landmark detection with deep learning in computed tomography angiography scans. Studierfenster is currently hosted on an server at the Graz University of Technology in Austria, and expanded jointly with the in Essen, Germany. Studierfenster or StudierFenster (SF) is a free, non-commercial open science client/server-based medical imaging processing online framework. It offers capabilities, like viewing medical data (computed tomography (CT), magnetic resonance imaging (MRI), etc.) in two- and three-dimensional space directly in standard web browsers, like Google Chrome, Mozilla Firefox, Safari, and Microsoft Edge. Other functionalities are the calculation of medical metrics (dice score and Hausdorff distance), manual slice-by-slice outlining of structures in medical images (segmentation), manual placing of (anatomical) landmarks in medical image data, viewing medical data in virtual reality, a facial reconstruction and registration of medical data for augmented reality, one click showcases for COVID-19 and veter

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