Cargando…
Retinal OCTA Image Segmentation Based on Global Contrastive Learning
The automatic segmentation of retinal vessels is of great significance for the analysis and diagnosis of retinal related diseases. However, the imbalanced data in retinal vascular images remain a great challenge. Current image segmentation methods based on deep learning almost always focus on local...
Autores principales: | Ma, Ziping, Feng, Dongxiu, Wang, Jingyu, Ma, Hu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781437/ https://www.ncbi.nlm.nih.gov/pubmed/36560216 http://dx.doi.org/10.3390/s22249847 |
Ejemplares similares
-
An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring
por: Wu, Sheng, et al.
Publicado: (2021) -
Enhanced Visualization of Retinal Microvasculature via Deep Learning on OCTA Image Quality
por: Xu, Yishuang, et al.
Publicado: (2021) -
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data
por: Liu, Yihao, et al.
Publicado: (2022) -
Widefield Swept Source OCTA in Retinitis Pigmentosa
por: Mastropasqua, Rodolfo, et al.
Publicado: (2020) -
Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images
por: Sigut, Jose, et al.
Publicado: (2017)