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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 …more
Abstract:
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
 

Keywords

Digital Pathology Visualisation RationAI OME-TIFF Whole Slide Images
 
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.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Computer systems, communication and security / Software systems

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