Analysing Videokymograms Using Classical and Deep Learning Methods
| Thesis title in Czech: | Analýza videokymogramů pomocí tradičních metod a metod hlubokého učení |
|---|---|
| Thesis title in English: | Analysing Videokymograms Using Classical and Deep Learning Methods |
| Key words: | Videokymografie|medicínské zobrazovací metody|digitální zpracování obrazu|počítačové vidění|strojové učení |
| English key words: | Videokymography|Medical Imaging|Digital Image Processing|Computer Vision|Machine Learning |
| Academic year of topic announcement: | 2013/2014 |
| Thesis type: | dissertation |
| Thesis language: | angličtina |
| Department: | Ústav teorie informace a automatizace AV ČR, v.v.i. (32-UTIAAV) |
| Supervisor: | prof. Ing. Jan Flusser, DrSc. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 27.09.2013 |
| Date of assignment: | 27.09.2013 |
| Confirmed by Study dept. on: | 27.01.2014 |
| Date and time of defence: | 01.03.2023 10:30 |
| Date of electronic submission: | 01.01.2023 |
| Date of submission of printed version: | 02.01.2022 |
| Date of proceeded defence: | 01.03.2023 |
| Opponents: | Philipp Aichinger |
| Radovan Jiřík | |