Automatyczna parametryzacja obrazu siatkówki oka ludzkiego
2019/32/T/ST6/00500
Descriptors
- ST6_008: Grafika komputerowa, przetwarzanie obrazów, wizualizacja komputerowa, multimedia, gry komputerowe
- ST6_011: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
- ST6_012: Obliczenia naukowe, narzędzia modelowania i symulacji
Panel
ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution
Politechnika Poznańska, Wydział Automatyki, Robotyki i Elektrotechniki
Voivodeship: wielkopolskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 2
Call
ETIUDA 7 – announced on 2018-12-14
- Amount awarded
- 107 328 PLN
- Project start date
- 2019-10-01
- Project end date
- 2020-09-30
- Project duration
- 12 months (the same as in the proposal)
- Project status
- Project settled
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
Publication in academic press/journals (1)
-
Segmentation of Preretinal Space in Optical Coherence Tomography Images Using Deep Neural Networks
- Authors:
- Agnieszka Stankiewicz, Tomasz Marciniak, Adam Dabrowski, Marcin Stopa, Elzbieta Marciniak, Boguslaw Obara
- Academic press:
- Sensors (year: 2021, volume: 21, pages: 46047), Publisher: MDPI
- Status:
- Published
- DOI:
- 10.3390/s21227521 – link to the publication