Detail of the student project

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Topic:Deep learning for tumor detection from histopathological images
Department:Katedra kybernetiky
Supervisor:prof. Dr. Ing. Jan Kybic
Announce as:Diplomová práce, Bakalářská práce, Semestrální projekt
Description:The task is to develop a deep learning (convolutional neural network) method to detect cancerous tissue in colorectal histopathological images. Several network architectures should be tried and the performance compared with a classical solution. In some cases, only weak annotations are available - we know whether a subject is healthy or not but a precise location of the lesion is not available. This leads to so-called multiple instance learning methods. Students will be able to compare their results with other authors in the frame of the CAMELYON challenge (https://camelyon17.grand-challenge.org)
Responsible person: Petr Pošík