About the research topic
Prostate cancer is the most prevalent form of cancer in men and the second leading cause of cancer death. In order to improve the management of patients with prostate cancer, improved prognostic models are required that stratify patients into those that will benefit from additional diagnostic procedures and invasive treatments and those that do not. For optimal patient stratification we will utilize all available patient and diagnostic information. In this project state-of-the-art machine learning techniques are being developed on prospectively acquired multicenter datasets available at Erasmus MC and NKI.
The top row shows in overlay the ground truth (in red), the lower row shows the segmented significant PCa lesion (in pink) by the CNN model.
