Detail of the student project

Topic:Segmentace buněk v mikroskopii za použití refernční modality
Department:Katedra kybernetiky
Supervisor:prof. Dr. Ing. Jan Kybic
Announce as:Diplomová práce, Semestrální projekt
Description:1. Get familiar with modern methods for image segmentation, especially
using convolutional neural networks.

2. Get familiar with our datset of fluorescence and  and phase
contrast microscopy images of cells and their nuclei, used to identify the effect of drugs on the cells.

3. Design, implement and test a classical algorithm (e.g. based on
thresholding) for segmenting nuclei from the fluorescence images.

4. Design, implement and experimentally evaluate a deep learning algorithm to identify nuclei from the phase contrast images, using the fluorescence image
or its segmentation as a reference.
Responsible person: Petr Pošík