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An Efficient Lens Structures Segmentation Method on AS-OCT Images

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Lens structures segmentation on anterior segment optical coherence tomography (AS-OCT) images is a fundamental task for cataract grading analysis. In this paper, in order to reduce the computational cost while keeping the segmentation accuracy, we propose an efficient segmentation method for lens structures segmentation. At first, we adopt an efficient
Guiping, Cao   +7 more
openaire   +2 more sources

Polymeric nanoparticles as OCT contrast agents

Journal of Nanoparticle Research, 2012
In this study, the optical properties of two nano-sized polymer colloids in optical coherence tomography (OCT) were compared in vitro with respect to their potential use as contrast agents. We used two types of particles: compact hydrophobic spherical polystyrene (PS) particles and soft water-swollen nanogel (NG) particles both with grafted ...
Wa’el Al Rawashdeh   +8 more
openaire   +1 more source

Anterior Segment Optical Coherence Tomography (AS-OCT) Visualization of Anterior Vitritis

Ocular Immunology and Inflammation, 2022
The clinical grading of vitreous haze presents some limitations such as subjectivity and intra-grader variability. On the other hand the proposed OCT-based methods only explore the posterior part of the vitreous. Here we describe the inflammatory changes affecting the anterior vitreous imaged by Anterior Segment Optical Coherence, Tomography (AS-OCT ...
Federico Zicarelli   +2 more
openaire   +2 more sources

Hybrid Variation-Aware Network for Angle-Closure Assessment in AS-OCT

IEEE Transactions on Medical Imaging, 2022
Automatic angle-closure assessment in Anterior Segment OCT (AS-OCT) images is an important task for the screening and diagnosis of glaucoma, and the most recent computer-aided models focus on a binary classification of anterior chamber angles (ACA) in AS-OCT, i.e., open-angle and angle-closure.
Jinkui Hao   +8 more
openaire   +2 more sources

Lens structure segmentation from AS-OCT images via shape-based learning

Computer Methods and Programs in Biomedicine, 2023
The lens is one of the important refractive media in the eyeball. Abnormality of the nucleus or cortex in the lens can lead to ocular disorders such as cataracts and presbyopia. To achieve an accurate diagnosis, segmentation of these ocular structures from anterior segment optical coherence tomography (AS-OCT) is essential.
Huihui Fang   +8 more
openaire   +2 more sources

Retinal Layer Segmentation Reformulated as OCT Language Processing

2020
In the medical field, semantic segmentation has recently been dominated by deep-learning based image processing methods. Convolutional Neural Network approaches analyze image patches, draw complex features and latent representations and take advantage of these to label image pixels and voxels.
Arianne Tran   +4 more
openaire   +1 more source

Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image

Journal of Biomedical Informatics, 2022
Nuclear cataract (NC) is an age-related cataract disease. Cataract surgery is an effective method to improve the vision and life quality of NC patients. Anterior segment optical coherence tomography (AS-OCT) images are noninvasive, reproductive, and easy-measured, which can capture opacity clearly on the lens nucleus region.
Xiaoqing, Zhang   +6 more
openaire   +2 more sources

Anterior Segment Optical Coherence Tomography (AS-OCT)

2018
Anterior segment optical coherence tomography (AS-OCT) is a non-contact method analogous to ultrasound biomicroscopy (UBM) for the evaluation of the anterior segment structure with a higher resolution that uses infrared instead of ultrasound. In this chapter, we discuss the available types of AS-OCT. 1.
Hassan Hashemi   +2 more
openaire   +1 more source

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