Detail of the student project

List
Topic:Digital histology microscopy image processing
Supervisor:Prof. Dr. Ing. Jan Kybic
Announce as:DP,BP,PMI,SOP,PRO,PTO
Description:The input data are digitized microscopy histology slices, from e.g. colorectal or breast tissue. The tasks is to develop image processing algorithms for detection of tissue cells and their nuclei and evaluation of their shape, spatial distribution and other parameters. The next step is to use these parameters (aka features) to classify the tissue into tumor and healthy, and to distinguish between several tumor classes. Students will be able to compare their results with other authors in the frame of the CAMELYON challenge (https://camelyon17.grand-challenge.org)
Realization form:SW projekt
Date:13.05.2019
Max.number of students:6
 

Warning: the registration to the PTO can be canceled only by supervisor.
Responsible person: Petr Pošík