Titlebook: Bildverarbeitung für die Medizin 2020; Algorithmen – System Thomas Tolxdorff,Thomas M. Deserno,Christoph Palm Conference proceedings 2020 S

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COPD Classification in CT Images Using a 3D Convolutional Neural Network,n the world. Early detection and diagnosis of COPD can increase the survival rate and reduce the risk of COPD progression in patients. Currently, the primary examination tool to diagnose COPD is spirometry. However, computed tomography (CT) is used for detecting symptoms and sub-type classification

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chemoprevention

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Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixonypes represent an important risk factor of metabolic disorders. Currently, the gold standard for measuring volumes of VAT and SAT is the manual segmentation of abdominal fat images from 3D Dixon magnetic resonance (MR) scans – a very expensive and time-consuming process. To this end, we recently pro

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Semantic Lung Segmentation Using Convolutional Neural Networks,usually use their experience to interpret CXR images, however, there is a large interobserver variance. Computer vision may be used as a standard for assisted diagnosis. In this study, we applied an encoder-decoder neural network architecture for automatic lung region detection. We compared a three-