Podrobnosti studentského projektu

Téma:Digital histology microscopy image processing
Katedra:Katedra kybernetiky
Vedoucí:prof. Dr. Ing. Jan Kybic
Vypsáno jako:Diplomová práce, Bakalářská práce, Semestrální projekt
Popis: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)
Za obsah zodpovídá: Petr Pošík