Sökning: "Brain Image Segmentation"
Visar resultat 1 - 5 av 34 uppsatser innehållade orden Brain Image Segmentation.
1. Brain morphometry in Parkinson’s disease
Master-uppsats,Sammanfattning : Abstract Purpose The purpose of this brain morphometry study was to examine the volumes of different regions of the brain by research participants with Parkinson’s disease. Method To carry out the study, MR (magnetic resonance) images from 956 research participants from the Parkinson’s Progression Markers Initiative (PPMI) were used. LÄS MER
2. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. LÄS MER
3. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER
4. Volumetric Image Segmentation of Lizard Brains
Master-uppsats, KTH/Tillämpad fysikSammanfattning : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. LÄS MER
5. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). LÄS MER