Essays about: "multi-atlas segmentation"
Found 4 essays containing the words multi-atlas segmentation.
-
1. ATLAS DATABASES OF HUMAN BRAIN ANATOMY: QUALITATIVE AND QUANTITATIVE COMPARISON
University essay fromAbstract : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method. Theory Anatomical atlases of the human brain provide reference information about its structure. READ MORE
-
2. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. READ MORE
-
3. Überatlas: Robust speed-up of feature-based registration and multi-atlas based segmentation
University essay from Lunds universitet/Matematik LTHAbstract : Registration is a key component in multi-atlas approaches to medical image segmentation. Current state-of-the-art uses intensity-based registration methods, but such methods tend to be slow and sensitive to large amount of noise and anatomical abnormalities present in medical images. READ MORE
-
4. Automated Segmentation of the Pericardium Using a Feature Based Multi-atlas Approach
University essay from Lunds universitet/Matematik LTHAbstract : Multi-atlas segmentation is a widely used method that has proved to work well for the problem of segmenting organs in medical images. But standard methods are time consuming and the amount of data quickly grows to a point making use of these methods intractable. READ MORE
