Essays about: "automatisk segmentering"
Showing result 1 - 5 of 19 essays containing the words automatisk segmentering.
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1. Volumetric Image Segmentation of Lizard Brains
University essay from KTH/Tillämpad fysikAbstract : 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. READ MORE
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2. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads
University essay from KTH/Fastigheter och byggandeAbstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE
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3. Automatic segmentation of microstructures in metals : A computer vision approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The microstructures of a metal determine the physical, electrical and chemical properties of the metal, and analysis of microstructures is therefore an important part of materials science. Modern microscopes are capable of generating a lot of high-quality micrographs in a short period of time. READ MORE
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4. Machine Learning Methods for Segmentation of Complex Metal Microstructure Features
University essay from KTH/MaterialvetenskapAbstract : Machine learning is a growing topic with possibilities that seems endless with growing areas of applications. The field of metallography today is highly dependent on the operators’ knowledge and technical equipment to perform segmentation and analysis of the microstructure. Having expert dependents is both costly and very time-consuming. READ MORE
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5. GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their extended frameworks have achieved encouraging results on image-to-image translation problems. READ MORE