azadef/ynet
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation (MICCAI 2022)
This project helps ophthalmologists and researchers automatically analyze retinal OCT scans. It takes raw Optical Coherence Tomography (OCT) images of the retina and outputs segmented images that highlight different retinal layers. This is for medical professionals and scientists working with retinal imaging to improve diagnosis and research.
No commits in the last 6 months.
Use this if you need to precisely identify and measure different layers within retinal OCT images for clinical or research purposes.
Not ideal if you are working with medical imaging data other than retinal OCT scans.
Stars
38
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 05, 2024
Commits (30d)
0
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