Essays about: "segmentation of brain"
Showing result 16 - 20 of 45 essays containing the words segmentation of brain.
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16. Image Processing in MRI Guided Real-TimeAdaptive Radiotheraphy - Upsampling and Segmentation of Target Volume and Organs at Risk
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Magnetic Resonance Imaging (MRI) is a useful medical imaging technique that is used for cancer treatment.The major drawback of this method is the relatively long scan time, limiting its use for real time tracking of a potentially moving target during the radiotherapy session. READ MORE
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17. Automatic magnetic resonance brain volume measurements to assess the effect of minimised blood sample extraction on brain development in extremely preterm infants
University essay from Lunds universitet/LäkarutbildningenAbstract : Aim: To evaluate a pipeline for automatic MRI brain segmentation and volumetric tissue structure quantification in a cohort of extremely preterm infants. Methods: 13 extremely preterm neonates underwent MRI-scanning at a term equivalent age. Seven of these subjects had suitable MRI sequences and were analyzed in the pipeline. READ MORE
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18. Improving Brain Tumor Segmentation using synthetic images from GANs
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. READ MORE
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19. GAN-Based Synthesis of Brain Tumor Segmentation Data : Augmenting a dataset by generating artificial images
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Machine learning applications within medical imaging often suffer from a lack of data, as a consequence of restrictions that hinder the free distribution of patient information. In this project, GANs (generative adversarial networks) are used to generate data synthetically, in an effort to circumvent this issue. READ MORE
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20. Differences in tumor volume for treated glioblastoma patients examined with 18F-fluorothymidine PET and contrast-enhanced MRI
University essay from Umeå universitet/Institutionen för fysikAbstract : Background: Glioblastoma (GBM) is the most common and malignant primary brain tumor. It is a rapidly progressing tumor that infiltrates the adjacent healthy brain tissue and is difficult to treat. Despite modern treatment including surgical resection followed by radiochemotherapy and adjuvant chemotherapy, the outcome remains poor. READ MORE