By integrating the SCA module into the U-Net and CE-Net, we show that the module improves the accuracy of the choroid layer segmentation. MeSH terms. Attention ...

The segmentation of choroid layer is of great signifi- cance for the diagnosis of many ophthalmic diseases, and it remains a challenging medical image analysis ...

Since the thickness and shape of the choroid layer are indicators for the diagnosis of several ophthalmic diseases, the choroid layer segmentation is an ...

Jul 20, 2020 · Fingerprint. Dive into the research topics of 'Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images'.

Jun 29, 2022 · The results show that the AMR block and CCB loss function enable the deep network to obtain more accurate choroid segmentations. In addition, ...

In this paper, we propose a novel boundary-enhanced encoder-decoder architecture for choroid segmentation in retinal OCT images.

Optical Coherence Tomography (OCT) is a commonly used retina imaging technique, and it is capable of revealing the morphology of the choroid.

Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search

This paper proposed and implemented an automatic method for choroid layer segmentation in OCT images using deep learning and a series of morphological ...