The goal of the work is to attempt different methods to analyze risks of linking attacks to privacy of patients donating histopathological samples and imaging for research purposes. The analysis of linkability of histopatological slide imaging, so call Whole Slide Imaging (WSI), will be assessed using methods based on whole WSI and will include hierarchy of different types of materials to patients. The hierarchy of material should consider at least identical slides scanned on different scanners, consecutive slides, and non-consecutive slides from the same tissue block. The student will describe state of the art of suitable methods for similarity search and will propose application of suitable methods of supervised and/or unsupervised learning. The methods will be applied to different sizes of datasets. The results will be evaluated with respect to the patient linkage risks. The work will be conducted in collaboration with Masaryk Memorial Cancer Institute and with Medical University Graz.