National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Corneal neovascularization assesment using machine learning methods
Mačák, Adrián ; Šikudová, Elena (advisor) ; Holeňa, Martin (referee)
In our work, we tried to help ophthalmologists with their research on treating - corneal neovascularization. The massive improvement of hardware and algorithms in machine learning opens new ways to solve many medical imaging problems. During this work, we created a unique dataset and AI-powered solution which quantifies this disease. This solution consists of the computational and user interface part. The computational part uses the deep convolutional neural network with customized U-Net architecture to detect and segment corneal vessels. The user interface provides a toolkit for ophthalmologists to quantify patients' images. Experimentally, we deployed this solution to the hospital FNKV Prague for research purposes. 1
Point cloud video for HoloLens
Mačák, Adrián ; Pelikán, Josef (advisor) ; Dupej, Ján (referee)
The development of virtual and augmented reality headsets opens up many possibil- ities for using these technologies in industry, entertainment and other sectors. The aim of this work is to explore the possibilities and design the applications, that will ensure that by using Microsoft Hololens v1 and Microsoft Kinect v2 there will be a possibility to capture, process, transfer and render dynamic point cloud on the HoloLens side. The functionality is divided between three applications. The first one is a desktop application on which the capturing, processing, and a server is running. The second application, the client application, provides rendering and the user interface on HoloLens side. The third application is used to test the network throughput, simulating the point cloud video transmission. This work describes the process of how to connect a sensor to the computer, looking at yourself from a bird's eye view, and the night vision that has come out of it. The results are applications that can do these in real time. 1

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