… fluid detection was numerically superior to that of the retinal specialists (0.877 vs. 0.815);
the sensitivity of the retinal specialists was particularly low at 0.403 versus 0.763 for the NOA. …

… of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-… detection
and/or quantification of retinal fluid, which demonstrated high accuracy in detecting retinal fluid …

… We propose a two-step neural network for detection and segmentation of the retinal OCT
fluid. The first network performs detection and segmentation of fluids, while the second network …

… Pixel-wise detection of macular fluid uses an entire OCT volume to calculate exact volumes
of retinal fluid. While manual annotations of such pixel-wise fluid detection are unfeasible in …

… We evaluated the retinal fluid detection performance on neovascular AMD, DME, and RVO
cases on Cirrus and Spectralis data. For each of these disease/device groups, ROC curves …

… Despite the demonstration from 1 prespecified study that AI-based detection of retinal fluid
had higher accuracy and substantially higher sensitivity than detection by retinal specialists in …

… However, manual detection and segmentation of SRFs and sub-RPE fluids are laborious …
for automatic detection of SRFs and sub-RPE fluids. First, top and bottom layers of retina are …

… These filters act as special feature detectors and as the input image is processed with …
feature detectors. During training, these individual detectors are then being adjusted to detect …

… was inversely related to fluid intelligence, this relationship was … was positively related to IQ
and fluid intelligence. However, only … Although OCT is often used in clinical settings to detect …

… Retinal fluid as the major biomarker in exudative macular disease is accurately visualized
… Artificial intelligence (AI) with its capability to objectively identify, localize and quantify fluid …