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With the introduction of spectral-domain optical coherence tomography (SDOCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, there is a critical need…

Computer Vision and Pattern Recognition · Computer Science 2015-08-06 Yankui Sun , Tian Zhang , Yue Zhao , Yufan He

The morphological attributes of retinal vessels, such as length, width, tortuosity and branching pattern and angles, play an important role in diagnosis, screening, treatment, and evaluation of various cardiovascular and ophthalmologic…

Image and Video Processing · Electrical Eng. & Systems 2019-11-25 Zhengyuan Liu

SD-OCT is a non-invasive cross-sectional imaging modality used for diagnosis of macular defects. Efficient detection and segmentation of the abnormalities seen as biomarkers in OCT can help in analyzing the progression of the disease and…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Shivin Yadav , Karthik Gopinath , Jayanthi Sivaswamy

Automatic segmentation of retinal blood vessels from fundus images plays an important role in the computer aided diagnosis of retinal diseases. The task of blood vessel segmentation is challenging due to the extreme variations in morphology…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Avijit Dasgupta , Sonam Singh

Optical coherence tomography (OCT) imaging is a well-known technology for visualizing retinal layers and helps ophthalmologists to detect possible diseases. Accurate and early diagnosis of common retinal diseases can prevent the patients…

Image and Video Processing · Electrical Eng. & Systems 2022-03-04 Mohammad Rahimzadeh , Mahmoud Reza Mohammadi

Optical coherence tomography (OCT) is a medical imaging modality that allows us to probe deeper substructures of skin. The state-of-the-art wound care prediction and monitoring methods are based on visual evaluation and focus on surface…

Image and Video Processing · Electrical Eng. & Systems 2023-06-05 Prashant Kumar , Swatantra Dhara , Ayan Gope , Jyotirmoy Chatterjee , Subhamoy Mandal

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

Advances in optical coherence tomography (OCT) have enabled noninvasive imaging of substructures of the human retina with high spatial resolution. OCT examinations are now a standard procedure in clinics and an integral part of ophthalmic…

Human-Computer Interaction · Computer Science 2022-12-22 Martin Röhlig , Oliver Stachs , Heidrun Schumann

Retinal vessel segmentation is a crucial step in diagnosing and screening various diseases, including diabetes, ophthalmologic diseases, and cardiovascular diseases. In this paper, we propose an effective and efficient method for vessel…

Image and Video Processing · Electrical Eng. & Systems 2020-09-24 Zhun Fan , Jiajie Mo , Benzhang Qiu , Wenji Li , Guijie Zhu , Chong Li , Jianye Hu , Yibiao Rong , Xinjian Chen

Optical coherence tomography angiography (OCTA) is a novel noninvasive imaging modality for visualization of retinal blood flow in the human retina. Using specific OCTA imaging biomarkers for the identification of pathologies, automated…

Image and Video Processing · Electrical Eng. & Systems 2025-04-09 Anna Breger , Felix Goldbach , Bianca S. Gerendas , Ursula Schmidt-Erfurth , Martin Ehler

Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that can acquire high-resolution volumes of the retinal vasculature and aid the diagnosis of ocular, neurological and cardiac diseases. Segmenting the…

The optic nerve head represents the intraocular section of the optic nerve (ONH), which is prone to damage by intraocular pressure. The advent of optical coherence tomography (OCT) has enabled the evaluation of novel optic nerve head…

Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated labels. We used images from optical coherence tomography…

Computer Vision and Pattern Recognition · Computer Science 2018-02-27 Cecilia S. Lee , Ariel J. Tyring , Yue Wu , Sa Xiao , Ariel S. Rokem , Nicolaas P. Deruyter , Qinqin Zhang , Adnan Tufail , Ruikang K. Wang , Aaron Y. Lee

Optical Coherence Tomography (OCT) is a novel and effective screening tool for ophthalmic examination. Since collecting OCT images is relatively more expensive than fundus photographs, existing methods use multi-modal learning to complement…

Image and Video Processing · Electrical Eng. & Systems 2023-08-02 Lehan Wang , Weihang Dai , Mei Jin , Chubin Ou , Xiaomeng Li

Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur along with the progression of glaucoma. Although several deep…

Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Erick O. Rodrigues , Aura Conci , Panos Liatsis

Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that provides high-resolution cross-sectional images of the retina, which are useful for diagnosing and monitoring various retinal diseases. However, manual…

Image and Video Processing · Electrical Eng. & Systems 2023-11-07 Can Koz , Onat Dalmaz , Mertay Dayanc

Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making RNV clinical screening and monitoring a priority. Optical…

Image and Video Processing · Electrical Eng. & Systems 2026-04-01 Jinyi Hao , Jie Wang , Liqin Gao , Tristan T. Hormel , Yukun Guo , An-Lun Wu , Christina J. Flaxel , Steven T. Bailey , Kotaro Tsuboi , Thomas S. Hwang , Yali Jia

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

Optical tomographic cross-sectional images of biological samples were made possible by interferometric imaging techniques such as Optical Coherence Tomography (OCT). Owing to its unprecedented view of the sample, OCT has become a gold…

Medical Physics · Physics 2020-07-13 Pedro Mecê , Elena Gofas-Salas , Michel Paques , Kate Grieve , Serge Meimon