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Bc. Miroslav Mažgut

Bachelor's thesis

Detection of metastases in immunohistochemically stained lymphatic tissue using deep learning methods

Detection of metastases in immunohistochemically stained lymphatic tissue using deep learning methods
Abstract:
Detekcia metastáz v tkanive je veľmi náročná a precízna úloha, ktorá je kľúčová pre diagnostiku, výskum a následnú liečbu. Cieľom je natrénovať model hlbokého učenia na detekciu metastáz v imunohistochemicky zafarbenom lymfatickom tkanive. Táto práca opisuje použité dáta, ich predspracovanie a následné využitie pri trénovaní, testovaní a konečnom hodnotení. Práca tiež pokrýva architektúry modelov, …more
Abstract:
The detection of metastases in tissue is a very laborious and precise task, which is crucial for diagnosis, research, and subsequent treatment. The goal is to train a deep-learning model to detect metastases in immunohistochemically stained lymphatic tissue. This thesis discusses the data and data preprocessing for use in training, testing, and final evaluation. The thesis also covers the model architectures …more
 

Keywords

lymph nodes WSI TMA deep learning digital pathology metastasis
 
Language used: English
Date on which the thesis was submitted / produced: 23. 5. 2024
Identifier: https://is.muni.cz/th/imfej/

Thesis defence

  • Date of defence: 24. 6. 2024
  • Supervisor: doc. RNDr. Tomáš Brázdil, Ph.D.
  • Reader: RNDr. Filip Lux

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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

Bachelor programme / field:
Informatics / Informatics

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