Sökning: "abdominal mri"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden abdominal mri.
1. Similarity models for atlas-based segmentation of whole-body MRI volumes
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : In order to analyse body composition of MRI (Magnetic Resonance Imaging) volumes, atlas-based segmentation is often used to retrieve information from specific organs or anatomical regions. The method behind this technique is to use an already segmented image volume, an atlas, to segment a target image volume by registering the volumes to each other. LÄS MER
2. Multi-Modal Learning for Abdominal Organ Segmentation
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Deep Learning techniques are widely used across various medical imaging applications. However, they are often fine-tuned for a specific modality and are not generalizable when it comes to new modalities or datasets. One of the main reasons for this is large data variations for e.g. LÄS MER
3. Automated Liver Segmentation from MR-Images Using Neural Networks
Master-uppsats, Linköpings universitet/Avdelningen för radiologiska vetenskaper; Linköpings universitet/Centrum för medicinsk bildvetenskap och visualisering, CMIVSammanfattning : Liver segmentation is a cumbersome task when done manually, often consuming quality time of radiologists. Use of automation in such clinical task is fundamental and the subject of most modern research. LÄS MER
4. Automatic Detection of Anatomical Landmarks in Three-Dimensional MRI
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Detection and positioning of anatomical landmarks, also called points of interest(POI), is often a concept of interest in medical image processing. Different measures or automatic image analyzes are often directly based upon positions of such points, e.g. in organ segmentation or tissue quantification. LÄS MER
5. Interactive segmentation of abdominal organs from 3D CT and MRI images
Magister-uppsats, Institutionen för teknik och naturvetenskap; Tekniska högskolanSammanfattning : Within the medical field, image segmentation is an important tool which can be used by radiologists and surgeons who want quantitative measurements of a lesion or organ. To be clinically useful, the tool has to be fast and easy to use. LÄS MER