Detail of the student project

Topic:Deep learning for tumor type classification from histopathological images
Department:Katedra kybernetiky
Supervisor:prof. Dr. Ing. Jan Kybic
Announce as:Diplomová práce, Bakalářská práce, Semestrální projekt
Description:The input data are digitized microscopy histology slices of colorectal tissue, with manual or automatic segmentation of the cancerous tissue. The task is to develop a deep learning (convolutional neural network) method to distinguish different tumor types. Several network architectures should be tried and the performance  compared with a classical solution.
Responsible person: Petr Pošík