3 results match your criteria: "Tu Wien University[Affiliation]"
Diagnostics (Basel)
March 2023
Department of Computer Engineering, Haliç University, Istanbul 34394, Turkey.
The automated extraction of critical information from electronic medical records, such as oncological medical events, has become increasingly important with the widespread use of electronic health records. However, extracting tumor-related medical events can be challenging due to their unique characteristics. To address this difficulty, we propose a novel approach that utilizes Generative Adversarial Networks (GANs) for data augmentation and pseudo-data generation algorithms to improve the model's transfer learning skills for various tumor-related medical events.
View Article and Find Full Text PDFAppl Radiat Isot
June 2023
Labor für Strahlenschutz, Magistratsabteilung 39, Stadt Wien, Währinger Gürtel 18-20, 1190, Wien, Austria.
This low-level radionuclide metrology research work was carried out within the Joint Danube Survey 4 (JDS4), coordinated in 2018-2020 by the International Commission for the Protection of the Danube River (ICPDR). The gamma-emitting radionuclides of the sediment samples were analysed by low-level gamma-ray spectrometry. The activity concentration of Sr was determined by liquid scintillation counting (LSC) after isolating the radio-strontium using a new radiochemical separation method.
View Article and Find Full Text PDFDiagnostics (Basel)
February 2023
The Institute of Computer Technology, Tu Wien University, 1040 Vienna, Austria.
Lung cancer is a leading cause of cancer-related deaths globally. Early detection is crucial for improving patient survival rates. Deep learning (DL) has shown promise in the medical field, but its accuracy must be evaluated, particularly in the context of lung cancer classification.
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