… deep learning algorithm for precise quantification of macular fluid on a pixel level using
these OCT volumes, we quantitatively investigated the differences in fluid volumes in the FLUID …

… OCT/OCTA volumes is getting higher, which provides a basis for volumetric measurement of
… fluid. Previously, we presented a fuzzy level-set method 10 to measure retinal fluid volume …

… applied deep learning, a state-of-the-art machine learning technique … Deep learning models
allow one to learn meaningful … classification of whether a volume comprises fluid, we used a …

… or fluid height measurements, this study provides a systematic assessment of CSFT and
subretinal fluid (SRF) height values compared with deep learning–based fluid quantification to …

… -tension dominated flows is a remaining challenge in Volume of Fluid (VOF) methods.
Data-… networks with deep multilayer perceptron (MLP) architecture which read volume fraction …

… In conclusion, automated quantification of retinal fluid volumes based on deep learning in
two large randomised controlled trials allowed to evaluate pathognomonic resolution patterns …

… and quantify retinal fluid in SS-OCT scans, using a novel deep learning algorithm, and …
This approach showed a close correlation between total fluid volume and change in BCVA …

… To assess changes in BCVA and fluid volume over time, we used the framework of linear
repeated-measures mixed-effects models. These models allow an estimation of mean effects …

… true fluid volumes in test optical coherence tomography volumes… fluid volumes show very
good correlation with volumes … of the three fluid categories, our study evaluated fluid volume, its …

… , a deep autoencoder trained on brain region volume features … such as elongation,
compactness, volume, and surface area, as … The interpretability of deep learning methods, …