Essays about: "3d image segmentation thesis"
Showing result 11 - 15 of 48 essays containing the words 3d image segmentation thesis.
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11. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE
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12. A Phantom Based Comparison of Image Segmentation Algorithms for Adaptive Functional Volume Determination of the Thyroid Gland using SPECT
University essay from Stockholms universitet/FysikumAbstract : Background One of the most used treatments for hyperthyroidism, is therapy with radioactive iodine (131I), which is accumulated in the thyroid gland. To determine the activity of 131I to be administered for a certain absorbed dose, the volume of the gland is of great importance but the historically used methods for estimating the functional volume of the gland are based on large approximations. READ MORE
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13. Segmenting the Left Atrium in Cardic CT Images using Deep Learning
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Convolution neural networks have achieved a state of the art accuracy for multi-class segmentation in biomedical image science. In this thesis, a 2-Stage binary 2D UNet and MultiResUNet are used to segment the 3D cardiac CT Volumes. 3D volumes have been sliced into 2D images. READ MORE
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14. Exploring Deep Learning Frameworks for Multiclass Segmentation of 4D Cardiac Computed Tomography
University essay from Linköpings universitet/Institutionen för hälsa, medicin och vårdAbstract : By combining computed tomography data with computational fluid dynamics, the cardiac hemodynamics of a patient can be assessed for diagnosis and treatment of cardiac disease. The advantage of computed tomography over other medical imaging modalities is its capability of producing detailed high resolution images containing geometric measurements relevant to the simulation of cardiac blood flow. READ MORE
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15. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
University essay from Lunds universitet/Matematik LTHAbstract : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. READ MORE
