Staff

Doctoral studies

Theme Development of Magnetic Resonance Image Analysis Algorithms for Prostate Cancer Detection and Aggressiveness Evaluation

Supervisor Assoc. Prof. Dr. Povilas Treigys

Study time 2015 10 01–2022 09 09 (2017 10 09–2020 09 17 academic holidays)

Aim: Investigate methods for multifocal cancer detection in prostate gland while examining different magnetic resonance imaging modalities and develop aggregated classifier for aggressiveness estimation

Main problems:

1. Evaluation of the means for prostate detection in magnetic resonance images.
2. Evaluation of the methods for prostate cancer detection in prostate gland in different imaging modalities.
3. Evaluation and assesment of the methods for cancer aggressiveness estimation.
4. Development and assesment of the aggregated aggressiveness estimation method.