Sökning: "pixel wise"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden pixel wise.
1. Wildfire growth modelling in Sweden - a suitability assessment of available data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Wildfires are worldwide problems that stress societies by damaging their economies and they cause serious, sometimes fatal, health implications among the populations. In recent years, the rate of wildfire occurrence has increased as the global average temperature has risen. Because of global climate change, this rate is expected to continue rising. LÄS MER
2. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER
3. Uncertainty Estimation in Volumetric Image Segmentation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER
4. Toward Equine Gait Analysis : Semantic Segmentation and 3D Reconstruction
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Harness racing horses are exposed to high workload and consequently, they are at risk of joint injuries and lameness. In recent years, the interest in applications to improve animal welfare has increased and there is a demand for objective assessment methods that can enable early and robust diagnosis of injuries. LÄS MER
5. Development and evaluation of an inter-subject image registration method for body composition analysis for three slice CT images
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Over 30 000 liver, abdomen, and thigh slices have been acquired by computed tomography for the SCAPIS and IGT study. To utilise the full potential of the large cohort and enable statistical pixel-wise body composition analysis and visualisation of associations with other biomarkers, a point-to-point correspondence between the scans is needed. LÄS MER