Pregled bibliografske jedinice broj: 1159978
Deep Learning Based Method for Retinal Layer Segmentation In Optical Coherence Tomography Images
Deep Learning Based Method for Retinal Layer Segmentation In Optical Coherence Tomography Images // ARVO Imaging in the Eye Conference Abstract
Vancouver, 2019. 110, 1 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1159978 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Deep Learning Based Method for Retinal Layer
Segmentation In Optical Coherence Tomography Images
Autori
Zadro, Ivana ; Lončarić, Sven ; Radmilovic, Marin ; Vatavuk, Zoran
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
ARVO Imaging in the Eye Conference Abstract
/ - Vancouver, 2019
Skup
Imaging in the Eye Conference
Mjesto i datum
Vancouver, Kanada, 26.04.2019. - 27.04.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
OCT ; retinal layers, AMD ; U-Net
Sažetak
In this work, the U-Net neural network with a custom postprocessing method has been applied for automatic segmentation of retinal layers from a database of OCT images with age-related macular degeneration (AMD).
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
