| List |
| Topic: | Analýza 2D ultrazvukových snímků vaječníků |
|---|---|
| Department: | Katedra kybernetiky |
| Supervisor: | prof. Dr. Ing. Jan Kybic |
| Announce as: | Diplomová práce, Semestrální projekt |
| Description: | Compare expert annotations with the number of acquired
follicles. Create a method for detection and segmentation of follicles and an estimation of their number and size. Experimentally evaluate the accuracy and compare it with results from the literature [The student will take care of obtaining the data.] |
| Bibliography: | [1] A. Krivanek and M. Sonka, "Ovarian ultrasound image analysis: follicle segmentation," in IEEE Transactions on Medical Imaging, vol. 17, no. 6, pp. 935-944, Dec. 1998, doi: 10.1109/42.746626.
[2] H. Li et al., "CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 4, pp. 974-983, April 2020, doi: 10.1109/JBHI.2019.2946092. [3] Goodfellow, Bengio, Courville: "Deep learning". MIT Press, 2016. |