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Anterior uveitis, a common form of eye inflammation, can lead to permanent vision loss if not promptly diagnosed. Monitoring this condition involves quantifying inflammatory cells in the anterior chamber (AC) of the eye, which can be…

Image and Video Processing · Electrical Eng. & Systems 2024-06-26 Boyu Chen , Ameenat L. Solebo , Paul Taylor

Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer boundaries is a fundamental procedure for diagnosing and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-09 Jinming Duan , Christopher Tench , Irene Gottlob , Frank Proudlock , Li Bai

Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases. However, fundus images captured by operators with various levels of experience have a large variation in quality. Low-quality fundus images…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Ziyi Shen , Huazhu Fu , Jianbing Shen , Ling Shao

Optical coherence tomography angiography (OCTA) is an imaging technique that allows for non-invasive investigation of the microvasculature in the retina. OCTA uses laser light reflectance to measure moving blood cells. Hereby, it visualizes…

Tissues and Organs · Quantitative Biology 2020-02-11 Astrid M. E. Engberg , Vedrana A. Dahl , Anders B. Dahl

We propose a new deep learning approach for automatic detection and segmentation of fluid within retinal OCT images. The proposed framework utilizes both ResNet and Encoder-Decoder neural network architectures. When training the network, we…

Computer Vision and Pattern Recognition · Computer Science 2017-08-21 Dustin Morley , Hassan Foroosh , Saad Shaikh , Ulas Bagci

The morphology of blood vessels in retinal fundus images is an important indicator of diseases like glaucoma, hypertension and diabetic retinopathy. The accuracy of retinal blood vessels segmentation affects the quality of retinal image…

Computer Vision and Pattern Recognition · Computer Science 2018-03-02 A. M. R. R. Bandara , P. W. G. R. M. P. B. Giragama

Recent advancements in retinal surgery have paved the way for a modern operating room equipped with a surgical robot, a microscope, and intraoperative optical coherence tomography (iOCT)- a depth sensor widely used in retinal surgery.…

Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of prematurity. Current state-of-the-art research in blood vessel segmentation from…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Gorana Gojić , Veljko Petrović , Radovan Turović , Dinu Dragan , Ana Oros , Dušan Gajić , Nebojša Horvat

Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images. These CNN models frequently rely on vast amounts of labeled data for training, difficult to obtain,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-28 Sourya Dipta Das , Saikat Dutta , Nisarg A. Shah , Dwarikanath Mahapatra , Zongyuan Ge

In addition to the optical aberrations, the magnitude of the optical cells of detectors is one of the most important parameters, which restricts the resolution of detectors. Adaptive optic and the methods of reducing the aberrations are…

Optics · Physics 2007-05-23 S. Khademi , A. Darudi , M. Shahsavari

According to the World Health Organization, 285 million people worldwide live with visual impairment. The most commonly used imaging technique for diagnosis in ophthalmology is optical coherence tomography (OCT). However, analysis of…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Max-Heinrich Laves , Sontje Ihler , Lüder A. Kahrs , Tobias Ortmaier

Refractive error is the most common eye disorder and is the key cause behind correctable visual impairment, responsible for nearly 80% of the visual impairment in the US. Refractive error can be diagnosed using multiple methods, including…

Human-Computer Interaction · Computer Science 2022-08-12 Aditya Aggarwal , Siddhartha Gairola , Uddeshya Upadhyay , Akshay P Vasishta , Diwakar Rao , Aditya Goyal , Kaushik Murali , Nipun Kwatra , Mohit Jain

Optical coherence tomography (OCT) is a prevalent imaging technique for retina. However, it is affected by multiplicative speckle noise that can degrade the visibility of essential anatomical structures, including blood vessels and tissue…

Image and Video Processing · Electrical Eng. & Systems 2021-07-12 Dewei Hu , Joseph D. Malone , Yigit Atay , Yuankai K. Tao , Ipek Oguz

Optical Coherence Tomography (OCT) is the primary imaging modality for detecting pathological biomarkers associated to retinal diseases such as Age-Related Macular Degeneration. In practice, clinical diagnosis and treatment strategies are…

Computer Vision and Pattern Recognition · Computer Science 2019-07-17 Thomas Kurmann , Pablo Márquez-Neila , Siqing Yu , Marion Munk , Sebastian Wolf , Raphael Sznitman

This study presents a novel quantitative estimation method for total retinal arterial blood flow utilizing real-time Doppler holography at an unprecedented frame rate of 33,000 frames per second. This technique, leveraging high-speed…

Image and Video Processing · Electrical Eng. & Systems 2024-09-27 Yann Fischer , Zacharie Auray , Olivier Martinache , Marius Dubosc , Noé Topéza , Chloé Magnier , Maxime Boy-Arnould , Michael Atlan

The vascular structure in retinal images plays a crucial role in ophthalmic diagnostics, and its accuracies are directly influenced by the quality of the retinal image. Contrast enhancement is one of the crucial steps in any segmentation…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Adnan Shaout , Jiho Han

The majority of inherited retinal degenerations are due to photoreceptor cell death. In many cases ganglion cells are spared making it possible to stimulate them to restore visual function. Several studies (Bi et al., 2006; Lin et al.,…

Optical Coherence Tomography Angiography (OCTA) is a non-invasive and non-contacting imaging technique providing visualization of microvasculature of retina and optic nerve head in human eyes in vivo. The adequate image quality of OCTA is…

Image and Video Processing · Electrical Eng. & Systems 2021-07-23 Yufei Wang , Yiqing Shen , Meng Yuan , Jing Xu , Bin Yang , Chi Liu , Wenjia Cai , Weijing Cheng , Wei Wang

Fluorescent imaging plays a critical role in a myriad of scientific endeavors, particularly in the biological sciences. Three-dimensional imaging of fluorescent intensity often requires serial data acquisition, that is voxel-by-voxel…

Optics · Physics 2015-10-27 Jeffrey J. Field , David G. Winters , Randy A. Bartels

Optical Coherence Tomography (OCT) is essential for diagnosing conditions such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Accurate retinal layer segmentation enables quantitative biomarkers critical for…

Image and Video Processing · Electrical Eng. & Systems 2025-09-10 S M Asiful Islam Saky , Ugyen Tshering