Dec 7, 2019 · In this paper, a novel framework was proposed to segment retinal layers with fluid presence. The main contribution of this study is two folds.

Sep 10, 2024 · It is widely used for the diagnosis of ophthalmic diseases with retinal alteration, such as layer deformation and fluid accumulation. In this ...

Deep‐learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.

In this study, a novel deep learning based framework is proposed to segment retinal layers with the presence of fluid. The major contributions of the study are: ...

In this paper, we have proposed a novel framework to automatically segment retinal layers as well as fluid in OCT images. A novel deep neural network, LF-UNet, ...

Jul 4, 2020 · In this paper, a novel framework was proposed to segment retinal layers with fluid presence. The main contribution of this study is two folds: 1 ...

Sep 24, 2021 · In this paper, a cascade of deep convolutional neural networks is proposed using ENets for the segmentation of fluid accumulations in OCT B-Scans.

Deep‐learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Spatial Prior · no code ...