Titlebook: Bildverarbeitung für die Medizin 2023; Proceedings, German Thomas M. Deserno,Heinz Handels,Thomas Tolxdorff Conference proceedings 2023 De

絆住

https://doi.org/10.1007/978-3-531-92409-0ration methods. Our method integrates a vessel segmentation network into the image-to-image translation task by extending the CycleGAN framework. The segmentation network is inserted prior to aUNet vision transformer generator network and serves as a shared representation between both domains. We re

多余

https://doi.org/10.1007/978-3-531-92409-0 body. However, a medical expert would include in their reasoning also the context around the organ. In this work, we propose reproducing this human behavior by enhancing the conventional multi-class segmentation pipeline with additional anatomical information. We apply this concept to a ventral org

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CORE

不斷的變動(dòng)

https://doi.org/10.1007/978-94-6300-779-5 stroke. We present a deep learning model to estimate the cerebral vessel tree from the NCCT instead of subsequently performed contrast-enhanced imaging techniques, e.g. computed tomography angiography (CTA). We employ a volumetric sliding window approach and feed the patches to a 3D U-Net. This U-N

高度表

周興旺

Religiosity and Mental Health in Islamty between brain regions and planning operations on the brain. XTRACT is a recently developed program for automatically delineating 42 major WM tracts in high-quality DWI data. However, acquiring such data is time-consuming, limiting its clinical application. In this work, we propose using a deep ne

一大塊

Religiosity and Mental Health in Islam is most commonly used as starting point for planning. However, native CT (nCT) is required for accurate dosimetry computations. In thiswork,we propose an in-silico method to remove the contrast agent from ceCT images so that the Hounsfield Units (HU) would be similar to those in nCT. Two approaches

Condescending

偽造

Bildverarbeitung für die Medizin 2023978-3-658-41657-7Series ISSN 1431-472X Series E-ISSN 2628-8958