| Topic: | Hluboké učení pro detekci nádorů z histopatologických obrazů |
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| Department: | Katedra kybernetiky |
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| Supervisor: | prof. Dr. Ing. Jan Kybic |
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| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
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| 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) |
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