Server Solution for Large-Scale Digital Pathology AI Methods – Bc. Martin Kačenga
Bc. Martin Kačenga
Master's thesis
Server Solution for Large-Scale Digital Pathology AI Methods
Server Solution for Large-Scale Digital Pathology AI Methods
Abstract:
Pokrok v digitálnej patológii vyústil v potrebu implementovať zobrazovač, ktorý je schopný zobraziť obrázky vo veľmi vysokom rozlíšení. Toto je aj záujmom výskumnej skupiny RationAI, ktorá takýto nástroj vytvorila za účelom zobrazovania patologických obrázkov a výstupov metód umelej inteligencie (so zameraním na detekciu rakoviny). V tejto diplomovej práci je odprezentovaný back end vybudovaný nad …moreAbstract:
Advances in digital pathology have caused a need for image viewers capable of showing high-resolution whole slide images. RationAI team has developed such a viewer to provide a visualisation tool for pathologists and to facilitate the development of AI methods for cancer detection. However, the functionality of its back end is becoming insufficient. The thesis presents the back end based on IIPImage …more
Language used: English
Date on which the thesis was submitted / produced: 17. 5. 2022
Identifier:
https://is.muni.cz/th/krao3/
Thesis defence
- Date of defence: 21. 6. 2022
- Supervisor: doc. RNDr. Petr Holub, Ph.D.
- Reader: RNDr. Miloš Liška, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Computer systems, communication and security / Software systems