Thesis supervisor: Róbert Tornai
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: DE IK
Description of the research topic:
Syllabus
The aim of the research is to develop methods for supporting clinical decision makers by processing still image data, primarily ultrasound images. One of the main tasks is to find the extraction of anatomic parts and lesions on images recorded by clinical equipments. Furthermore, perimeter, area and volume computation and optimization is a key area in our work. The research focus is on the evaluation of ultrasound images and we try to generalize the solutions. Concerning the developed methods, the implementations shall be parallelized in an effective way. During the research the following languages and APIs will be compared: fix pipeline of OpenGL, GLSL, OpenCL, Mantle API, Vulkan API and in web browsers the WebGL and WebCL systems.
Bibliography
1. D. Shreiner, G. Sellers, J. M. Kessenich, B. M. Licea-Kane: OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 4.3, Addison-Wesley Professional, 2013.
2. D. Wolff: OpenGL 4 Shading Language Cookbook, Packt Publishing, 2013.
3. D. R. Kaeli, P. Mistry: Heterogeneous Computing with OpenCL 2.0, Morgan Kaufmann, 2015.
4. T. Parisi: Programming 3D Applications with HTML5 and WebGL: 3D Animation and Visualization for Web Pages, O'Reilly Media, 2014.
5. https://www.khronos.org/webcl/
Deadline for application: 2021-11-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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