Aineistot 91-96 / 96
Improving the performance of Bayesian deep model training for artery-vein segmentation
Retinal images are an important tool for diagnosis of ocular diseases. Automating the process of screening the retinal images would allow wider screening and make diagnosing of patients’ swifter. The possibility of performing ...
End-to-end regression of clinical parameters from retinal images
Retinal images are widely used by medical doctors to diagnose eye-related diseases. Unfortunately, the human factor restricts possibilities of full analysis of fundus. Therefore, implementing an automated algorithm for ...
Comparing numerical methods for solving the Fisher equation
This thesis provides a comparison of results from Finite Difference Methods, pdepe solver and the Method of Lines when solving the Fisher equation and the heat equation. We study the Fisher equation, which is an example ...
Effect of humidity on electric potential of SnO2 film investigated by Kelvin probe force microscopy
In this study hygroelectric behaviour of an SnO2 sample was studied using Kelvin probe force microscopy (KPFM) and humidity controlling equipment. The objective was to detect any possible surface potential changes within ...
Characterisation of low gain avalanche detectors for the CMS experiment
The aim of this thesis was to measure the current-voltage and capacitance-voltage characteristics of the latest batch of Ultra-Fast Silicon Detectors produced by Fondazione Bruno Kessler and evaluate the parameters of the ...
Bayesian optimal design in X-ray tomography
This thesis focuses on Bayesian optimal design and its applications to X-ray tomography. X-ray tomography is a well-known setting where X-rays are projected at an object. X-ray intensity data is recorded on the other side ...