AI Image Analysis Pipeline Implementation for Digital Pathology – Andrej Kubanda
Andrej Kubanda
Bachelor's thesis
AI Image Analysis Pipeline Implementation for Digital Pathology
AI Image Analysis Pipeline Implementation for Digital Pathology
Abstract:
Moderná patológia smeruje k umelou inteligenciou asistovanému spôsobu práce, čo priťahuje mnohých výskumníkov, vrátane tímu na Fakulte informatiky. Avšak, nástroje na analýzu obrazu, vyvinuté týmto výskumným tímom, nie sú zjednotené a obsahujú problémy, typické pre prototypy a experimentálne implementácie. Práca preto predstavuje modulárny dizajn nástroja strojového učenia a dodáva aj jeho implementáciu …moreAbstract:
Modern pathology is moving towards an artificial intelligence-assisted workflow, which attracts many researchers, including a team at the Faculty of Informatics. However, the image analysis tools developed by the research team are not unified and suffer from issues typical for prototypes and experimental implementations. Thus, the thesis presents a modular machine learning pipeline design and delivers …more
Language used: English
Date on which the thesis was submitted / produced: 25. 5. 2021
Identifier:
https://is.muni.cz/th/zw4kx/
Thesis defence
- Date of defence: 28. 6. 2021
- Supervisor: Mgr. Matej Gallo
- Reader: RNDr. Jaroslav Čechák
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 InformaticsBachelor programme / field:
Applied Informatics / Applied Informatics
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