Essays about: "3D Anomaly Detection"
Found 4 essays containing the words 3D Anomaly Detection.
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1. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning
University essay from Linköpings universitet/DatorseendeAbstract : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. READ MORE
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2. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE
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3. Coronary Artery Plaque Segmentation with CTA Images Based on Deep Learning
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Atherosclerotic plaque is currently the leading cause of coronary artery disease (CAD). With the help of CT images, we can identify the size and type of plaque, which can help doctors make a correct diagnosis. To do this, we need to segment coronary plaques from CT images. READ MORE
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4. Learning from 3D generated synthetic data for unsupervised anomaly detection
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Modern machine learning methods, utilising neural networks, require a lot of training data. Data gathering and preparation has thus become a major bottleneck in the machine learning pipeline and researchers often use large public datasets to conduct their research (such as the ImageNet [1] or MNIST [2] datasets). READ MORE
