Detail of the student project

Topic:Deep learning for tumor type classification from histopathological images
Supervisor:Prof. Dr. Ing. Jan Kybic , Jan Hering Dipl.-Math.
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.
Instruction:Recommended implementation languages are Python or Julia.
Max.number of students:6

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