Sökning: "convolutional neural networks"
Visar resultat 11 - 15 av 72 avhandlingar innehållade orden convolutional neural networks.
11. Deep Learning Methods for Classification of Glioma and its Molecular Subtypes
Sammanfattning : Diagnosis and timely treatment play an important role in preventing brain tumor growth. Clinicians are unable to reliably predict LGG molecular subtypes from magnetic resonance imaging (MRI) without taking biopsy. Accurate diagnosis prior to surgery would be important. LÄS MER
12. Deep Regression and Segmentation for Medical Inference from Large-Scale Magnetic Resonance Imaging
Sammanfattning : Large-scale studies, such as UK Biobank, acquire medical imaging data for thousands of participants. With magnetic resonance imaging (MRI), comprehensive representations of human anatomy can be provided for non-invasive assessments of health-related conditions, body composition, organ volumes, and more. LÄS MER
13. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations
Sammanfattning : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. LÄS MER
14. Modeling Music : Studies of Music Transcription, Music Perception and Music Production
Sammanfattning : This dissertation presents ten studies focusing on three important subfields of music information retrieval (MIR): music transcription (Part A), music perception (Part B), and music production (Part C).In Part A, systems capable of transcribing rhythm and polyphonic pitch are described. LÄS MER
15. Deep Learning Applications - From image analysis to medical diagnosis
Sammanfattning : Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using explicit rules to perform a desired task as in standard algorithmic approaches, machine-learning algorithms autonomously learn from data to determine the rules for the task at hand. LÄS MER