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Showing result 16 - 20 of 48 essays matching the above criteria.
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16. JPEG-deblocking of Blood Cell Images using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis investigates the use of convolutional neural networks as a reconstruction or JPEG- deblocking model for JPEG-compressed blood cell images, needed due to the well known block artifacts caused by JPEG-compression. CellaVision develops automated microscopy for blood analysis that detects and classifies blood cells from images. READ MORE
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17. Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging
University essay from Umeå universitet/Institutionen för fysikAbstract : There are many clinical situations where magnetic resonance imaging (MRI) is preferable over other imaging modalities, while the major disadvantage is the relatively long scan time. Due to limited resources, this means that not all patients can be offered an MRI scan, even though it could provide crucial information. READ MORE
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18. COMPARISON OF GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGING APPLICATIONS - MR to CT image synthesis
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Cancer is one of the leading causes of death worldwide with about half of all cancer patients undergoing radiation therapy, either as a standalone treatmentor in combination with other methods such as chemotherapy. The dose planning of radiation therapy is based on medical images such as CT and MR images. READ MORE
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19. Evaluation of Video Stabilisation Algorithms in Dynamic Capillaroscopy
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the field of dynamic capillaroscopy, measurements of the capillary blood cell velocity (CBV) give significant insight into the human body. For instance, diabetes, hypertension and peripheral arterial occlusive disease all affect CBV. READ MORE
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20. Performance Comparison of Image Enhancement Algorithms Evaluated on Poor Quality Images
University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingAbstract : Many applications require automatic image analysis for different quality of the input images. In many cases, the quality of acquired images is suitable for the purpose of the application. However, in some cases the quality of the acquired image has to be modified according to needs of a specific application. READ MORE