Sökning: "pericardium segmentation"

Hittade 3 uppsatser innehållade orden pericardium segmentation.

1. 1. Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Matilda Dahlström; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : 3D segmentations of hearts with congenital heart defects are routinely used today. They are used to study hearts and to prepare before surgery which makes them an important part of patient care. The 3D segmentations are usually created manually, which is a time-consuming process. LÄS MER

3. 2. Überatlas: Robust speed-up of feature-based registration and multi-atlas based segmentation

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Jennifer Alvén; [2015]
   Nyckelord :computer vision; medical image analysis; feature-based registration; segmentation of pericardium; segmentation of brain; multi-atlas based segmentation; Mathematics and Statistics;

   Sammanfattning : 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. LÄS MER

4. 3. Automated Segmentation of the Pericardium Using a Feature Based Multi-atlas Approach

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Alexander Norlén; [2014]
   Nyckelord :computer vision; medical image analysis; multi-atlas segmentation; feature based registration; Markov Random Fields; pericardium segmentation; Mathematics and Statistics;

   Sammanfattning : 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. LÄS MER