Mgr. Filip Lux

Advanced ('rigorózní') thesis

Shape-aware Segmentation of Biomedical Images using Deep Learning

Shape-aware Segmentation of Biomedical Images using Deep Learning
Abstract:
Obsahem práce je návrh nového algoritmu pro segmentaci buněk, který kombinuje deep learning s watershed transformací. Algoritmus byl úspěšný v soutěži Cell Tracking Challenge. V průběhu výzkumu jsem publikoval jeden recenzovaný konferenční článek, a zveřejnil jeden zatím nepublikovaný manuskript.
Abstract:
The work aimed to develop an algorithm for cell segmentation that combines deep learning and watershed transformation, successful in the Cell Tracking Challenge. During the research was published a reviewed conference paper and one manuscript.
 

Keywords

cell segmentation deep learning biomadical image analysis watershed segmentation
 
Language used: English
Date on which the thesis was submitted / produced: 30. 9. 2020
Identifier: https://is.muni.cz/th/wzv56/

Thesis defence

  • Date of defence: 26. 1. 2021
  • Reader: doc. RNDr. Tomáš Brázdil, Ph.D., prof. Ing. Adam Herout, Ph.D.

Citation record

Cite this text

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 informatiky
Složka Reference to the local database directory of the institution

Masaryk University

Faculty of Informatics

Advanced ('rigorózní řízení') programme / field:
Artificial intelligence and data processing / Artificial intelligence and data processing

Theses on a related topic

List of theses with an identical keyword.