Přehled

Title: Advanced image processing in pneumology

Study program: Biomedical Technology and Bioinformatics

Supervisor: Martin Mézl, PhD

Topic description:

The aim of this dissertation is to perform a comprehensive analysis of image data captured in pneumology. Specifically, it will involve data from an experimental video endoscope that captures lung parenchyma tissue. This is a technique currently under development that will bring new possibilities in the diagnosis and screening of lung diseases. This processing will involve the pre-processing, analysis, and classification of image data with the main focus on the detection of pathological tissue. In addition to this image data, the processing of traditional imaging techniques (classical lung X-rays, CT data, etc.) is also planned.

The work will be carried out as part of a project to develop and test an experimental video endoscope device, which is being carried out in collaboration with the Faculty of Electrical Engineering and Computer Science at the Technical University of Ostrava (FEI VŠB) and Van-Tec Medical company.

Your task:

  • Development of a new innovative image analysis for experimental data

  • Participation at wet lab with experiments

  • Comprehensive testing of algorithms for image analysis

  • Scientific publishing

Requirements:

  • Master´s in biomedical engineering or similar field

  • orientation in biomedical image processing and data acquisition

  • practical experience with image processing in Matlab/Python/C

  • excellent written and oral presentation skills

  • good communication skills in English

We offer:

  • Collaboration within an active and interdisciplinary team and with international experts.

  • Friendly and supportive research environment.

  • Additional financial support beyond the state scholarship through supplementary stipends or

  • project-related funding.

  • Opportunities for professional development, including participation in international

  • conferences, workshops, and specialized training.

Relevant publications:

https://doi.org/10.1038/s41467-025-66620-z

https://doi.org/10.1038/s41598-025-31432-0

https://doi.org/10.1038/s41598-025-12141-0

For more information about this topic please contact Martin Mézl (mezl@vut.cz).

Application portal: https://www.vut.cz/eprihlaska/

Application deadline: April 30, 2026

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