Essays about: "synthetic image data"
Showing result 1 - 5 of 93 essays containing the words synthetic image data.
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1. Reduction of Noise and Artefacts in MRIScan of Metal Implant Reconstructed by Frequency Mapping
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Metal objects can cause significant artefacts in magnetic resonance imaging (MRI) scans, cause loss of signal and what is known as geometric warping. There are ways to address these problems using different MRI sequences. This project looks at a newer method of artefact correction proposed by Månsson and Morin. READ MORE
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2. Validation of a method utilising MR images for dose planning of prostate cancer treatment : Validation of new coil technology applied on the pelvis region of healthy volunteers
University essay from Linköpings universitet/Institutionen för hälsa, medicin och vårdAbstract : By generating a synthetic CT image (sCT) directly from the MRI, the electron density can be calculated, and the CT examination can be excluded from the patient flow minimizing the risk of uncertainties in the registration. Basing the radiation treatment process solely on MR images is called MRI-only and is beneficial for the patient as it can provide more accurate radiation treatment than the standardised treatment with fewer CT examinations and possibly a more cost-effective radiation treatment process. READ MORE
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3. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. READ MORE
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4. Ocean Exploration with Artificial Intelligence
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Large and diverse data is crucial to train object detection systems properly and achieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible. Working with limited data can result in overfitting and poor performance. READ MORE
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5. Synthetic Image Generation Using GANs : Generating Class Specific Images of Bacterial Growth
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Mastitis is the most common disease affecting Swedish milk cows. Automatic image classification can be useful for quickly classifying the bacteria causing this inflammation, in turn making it possible to start treatment more quickly. However, training an automatic classifier relies on the availability of data. READ MORE
