… fluid segmentation method in retinal OCT images using attention based deep learning.
The proposed network consists one encoder path and two decoder paths, with output of fluid …

… data for retinal fluid segmentation was investigated in this study. Volumetric retinal fluid can
be … Results: ReF-Net shows high accuracy (F1 = 0.864 ± 0.084) in retinal fluid segmentation. …

… the presence of fluid and then segmenting the fluids in the selected scans, we performed
fluid segmentation in all scans and labelled the scans according to the resulting segmentation. …

… retinal fluid segmentation based on deep learning can improve the semantic segmentation
… This article summarizes several different deep learning paradigms reported in the up-to-…

… for fluid segmentation combined with the retinal information extracted in the previous stage…
Although the retinal segmentation information can be used to correct fluid segmentation, the …

… to allow successful deep learning from a single institution is a nontrivial process. In this
study, we retrained an existing deep learning network 14 to segment intraretinal fluid (IRF) on …

… Some state of the art methods for fluid segmentation in AMD and RVO subjects were …
for the segmentation of three types of fluid including intra-retinal fluid (IRF), sub-retinal fluid (SRF) …

… segmentation methods. The standard in assessing the existence and mass of retinal fluids
at … In this study, semantic segmentation deep learning networks were examined in 2.5D and …

… Again, the evaluation of retinal fluid segmentation accuracy was performed independently
for IRC and SRF and evaluated on neovascular AMD, DME, and RVO cases on Cirrus and …

… fluid (MRF… deep learning-based retinal fluids segmentation network (RFS-Net) to segment
and recognize three MRF lesion manifestations, namely, intraretinal fluid (IRF), subretinal fluid …