Abstract: Optical coherence tomography (OCT) yields high-resolution images of the retina. Reliable identification of the retinal layers is necessary for the ...

May 5, 2022 · The images in the test set exhibit the entire range of AMD severity grades, ranging from 0 to 11, challenging the learning algorithm due to ...

May 6, 2020 · This paper presents a fully automated method for segmenting retinal layers in OCT images using a level set method.

Here, we review some of the important image segmentation methods for processing retinal OCT images. We may classify the OCT segmentation approaches into five ...

Jan 26, 2022 · Novosel et al., developed a loosely coupled level set method to segment retinal layers coupling based on the order of layers and thickness ...

Segmenting optical coherence tomography (OCT) images of the retina is important in the diagnosis, staging, and tracking of ophthalmological diseases.

Automating the segmentation of retinal layers in retinal optical coherence tomography (OCT) images can help effectively diagnose and monitor retinal diseases.

Whereby more regions or objects are delineated by segmentation methods, which then complicates the proper identification of which region was segmented.

In this paper, we propose a fully automatic methodology to segment the main retinal layer boundaries using OCT images, not only when the layers are clearly ...