| Seznam |
| Téma: | Segmentace buněk v mikroskopii za použití refernční modality |
|---|---|
| Katedra: | Katedra kybernetiky |
| Vedoucí: | prof. Dr. Ing. Jan Kybic |
| Vypsáno jako: | Diplomová práce, Semestrální projekt |
| Popis: | 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. |