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Sandra Virbukaitė
Department: Image and Signal Analysis Group
Position: Ph.D. student, Junior Assistant
Field: Informatics Engineering
Address: Akademijos st. 4, Vilnius
E-mail:
Doctoral studies
Theme: Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images
Supervisor Dr. Jolita Bernatavičienė
Study time 2020 10 01–2024 09 30
Aim: Identification of pathological changes in eye fundus images
Main problems:
- Compare Deep Learning algorithms published in the scientific literature;
- Identify the advantages and disadvantages of these algorithms;
- Identify pathological changes relevant to the study;
- Develop or modify existing algorithms to identify selected pathological changes in eye fundus images and perform comparative analysis.
Conference presentations
2022
Virbukaitė, S., Bernatavičienė, J. „Image Resizing Level Impact on Eye Fundus Optic Disc and Optic Cup Segmentation“, WSCG 2022, Czech Republic, Pilzen, May 17-20.
2021
Virbukaitė, S., Bernatavičienė, J. „Impact of Images Quality Variety and Resizing Level on Eye Fundus Optic Disc Segmentation“, DAMSS 2021, Lithuania, Druskininkai, December 2-4.
Virbukaitė, S., Bernatavičienė, J. „Image Quality Impact on Optic Disc Segmentation Accuracy“, KoDi 2021, Lithuania, Klaipeda, September 23-24.