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Fundus photography has been routinely used to document the presence and severity of various retinal degenerative diseases such as age-related macula degeneration, glaucoma, and diabetic retinopathy, for which the fovea, optic disc (OD), and…

Image and Video Processing · Electrical Eng. & Systems 2022-03-02 Huaqing He , Li Lin , Zhiyuan Cai , Xiaoying Tang

Glaucoma is the leading cause of irreversible but preventable blindness in the world. Its major treatable risk factor is the intra-ocular pressure, although other biomarkers are being explored to improve the understanding of the…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 José Ignacio Orlando , João Barbosa Breda , Karel van Keer , Matthew B. Blaschko , Pablo J. Blanco , Carlos A. Bulant

In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources, manual diagnosis is time-consuming and may delay the condition.…

Computer Vision and Pattern Recognition · Computer Science 2021-02-17 Ning Li , Tao Li , Chunyu Hu , Kai Wang , Hong Kang

Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness. Ultra-wide optical coherence tomography angiography (UW-OCTA) is a non-invasive and safe…

Purpose: To develop the first 3D optic nerve head (ONH) atlas using AI-based registration and evaluate its use in: (1) atlas-adjusted retinal nerve fiber layer (RNFL) analysis for glaucoma diagnosis, and (2) strain-based assessment of…

Diagnosing glaucoma progression is critical for limiting irreversible vision loss. A common method for assessing glaucoma progression uses a longitudinal series of visual fields (VF) acquired at regular intervals. VF data are characterized…

Applications · Statistics 2018-05-31 Samuel I. Berchuck , Jean-Claude Mwanza , Joshua L. Warren

For medical diagnosis based on retinal images, a clear understanding of 3D structure is often required but due to the 2D nature of images captured, we cannot infer that information. However, by utilizing 3D reconstruction methods, we can…

Image and Video Processing · Electrical Eng. & Systems 2020-12-29 Peyman Tahghighi , Reza A. Zoroofi , Sare Safi , Alireza Ramezani

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

In this paper, we have proposed a new glaucoma classification approach that employs a wavelet neural network (WNN) on optimally enhanced retinal images features. To avoid tedious and error prone manual analysis of retinal images by…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 N. Krishna Santosh , Soubhagya Sankar Barpanda

Optical Coherence Tomography Angiography (OCTA) is a crucial imaging technique for visualizing retinal vasculature and diagnosing eye diseases such as diabetic retinopathy and glaucoma. However, precise segmentation of OCTA vasculature…

Image and Video Processing · Electrical Eng. & Systems 2025-01-03 Shun Zou , Zhuo Zhang , Guangwei Gao

Optical coherence tomography (OCT) is a non-invasive imaging modality which is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Peyman Gholami , Priyanka Roy , Mohana Kuppuswamy Parthasarathy , Vasudevan Lakshminarayanan

Optical Coherence Tomography (OCT) is one of the most emerging imaging modalities that has been used widely in the field of biomedical imaging. From its emergence in 1990's, plenty of hardware and software improvements have been made. Its…

Computer Vision and Pattern Recognition · Computer Science 2014-11-18 Ahmadreza Baghaie , Roshan M. D'souza , Zeyun Yu

Automated segmentation of the optic cup and disk on retinal fundus images is fundamental for the automated detection / analysis of glaucoma. Traditional segmentation approaches depend heavily upon hand-crafted features and a priori…

Computer Vision and Pattern Recognition · Computer Science 2019-02-14 Lei Bi , Yuyu Guo , Qian Wang , Dagan Feng , Michael Fulham , Jinman Kim

Diabetic Retinopathy (DR), a prevalent and severe complication of diabetes, affects millions of individuals globally, underscoring the need for accurate and timely diagnosis. Recent advancements in imaging technologies, such as…

Ophthalmologists have used fundus images to screen and diagnose eye diseases. However, different equipments and ophthalmologists pose large variations to the quality of fundus images. Low-quality (LQ) degraded fundus images easily lead to…

Image and Video Processing · Electrical Eng. & Systems 2022-08-04 Zhuo Deng , Yuanhao Cai , Lu Chen , Zheng Gong , Qiqi Bao , Xue Yao , Dong Fang , Shaochong Zhang , Lan Ma

This research work reveals the strengths of intertwining a deep custom convolutional neural network with a disruptive Vision Transformer, both fused together with a radical Cross-Attention module. Here, two high-yielding datasets for…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Ramanathan Swaminathan

Medical image classification is a core task in computer-aided diagnosis (CAD), playing a pivotal role in early disease detection, treatment planning, and patient prognosis assessment. In ophthalmic practice, fluorescein fundus angiography…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Zhuonan Wang , Wenjie Yan , Wenqiao Zhang , Xiaohui Song , Jian Ma , Ke Yao , Yibo Yu , Beng Chin Ooi

Diabetic Retinopathy (DR) is a severe complication of diabetes that can cause blindness. Although effective treatments exist (notably laser) to slow the progression of the disease and prevent blindness, the best treatment remains prevention…

Image and Video Processing · Electrical Eng. & Systems 2022-11-22 Yihao Li , Rachid Zeghlache , Ikram Brahim , Hui Xu , Yubo Tan , Pierre-Henri Conze , Mathieu Lamard , Gwenolé Quellec , Mostafa El Habib Daho

Gliomas are brain tumours with a high mortality rate. There are various grades and sub-types of this tumour, and the treatment procedure varies accordingly. Clinicians and oncologists diagnose and categorise these tumours based on visual…

Image and Video Processing · Electrical Eng. & Systems 2020-11-12 Azam Hamidinekoo , Tomasz Pieciak , Maryam Afzali , Otar Akanyeti , Yinyin Yuan

Diseases are currently managed by grading systems, where patients are stratified by grading systems into stages that indicate patient risk and guide clinical management. However, these broad categories typically lack prognostic value, and…