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Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging. In this paper, we introduce a fast segmentation method based on a new variant of spectral graph theory named diffusion maps. The research is…

Computer Vision and Pattern Recognition · Computer Science 2012-10-09 Raheleh Kafieh , Hossein Rabbani , Michael D. Abramoff , Milan Sonka

Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imaging reference to detect eye-related pathology and predict…

Image and Video Processing · Electrical Eng. & Systems 2022-09-01 Shuo Chen , Da Ma , Sieun Lee , Timothy T. L. Yu , Gavin Xu , Donghuan Lu , Karteek Popuri , Myeong Jin Ju , Marinko V. Sarunic , Mirza Faisal Beg

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

Focusing on the complicated pathological features, such as blurred boundaries, severe scale differences between symptoms, background noise interference, etc., in the task of retinal edema lesions joint segmentation from OCT images and…

Image and Video Processing · Electrical Eng. & Systems 2024-01-03 Meng Wang , Kai Yu , Chun-Mei Feng , Ke Zou , Yanyu Xu , Qingquan Meng , Rick Siow Mong Goh , Yong Liu , Huazhu Fu

Objective: Optical coherence tomography (OCT) and its angiography (OCTA) have several advantages for the early detection and diagnosis of diabetic retinopathy (DR). However, automated, complete DR classification frameworks based on both OCT…

Image and Video Processing · Electrical Eng. & Systems 2020-09-28 Pengxiao Zang , Liqin Gao , Tristan T. Hormel , Jie Wang , Qisheng You , Thomas S. Hwang , Yali Jia

Optic disc (OD) and optic cup (OC) are regions of prominent clinical interest in a retinal fundus image. They are the primary indicators of a glaucomatous condition. With the advent and success of deep learning for healthcare research,…

Image and Video Processing · Electrical Eng. & Systems 2020-12-15 Aniketh Manjunath , Subramanya Jois , Chandra Sekhar Seelamantula

Retinal imaging is a critical, non-invasive modality for the early detection and monitoring of ocular and systemic diseases. Deep learning, particularly convolutional neural networks (CNNs), has significant progress in automated retinal…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Xin Li , Wenhui Zhu , Xuanzhao Dong , Hao Wang , Yujian Xiong , Oana Dumitrascu , Yalin Wang

Optical Coherence Tomography Angiography (OCTA) and its derived en-face projections provide high-resolution visualization of the retinal and choroidal vasculature, which is critical for the rapid and accurate diagnosis of retinal diseases.…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Pooya Khosravi , Kun Han , Anthony T. Wu , Arghavan Rezvani , Zexin Feng , Xiaohui Xie

Glaucoma is a progressive eye disease that leads to optic nerve damage, causing irreversible vision loss if left untreated. Optical coherence tomography (OCT) has become a crucial tool for glaucoma diagnosis, offering high-resolution 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Roshan Kenia , Anfei Li , Rishabh Srivastava , Kaveri A. Thakoor

Glaucoma is a chronic visual disease that may cause permanent irreversible blindness. Measurement of the cup-to-disc ratio (CDR) plays a pivotal role in the detection of glaucoma in its early stage, preventing visual disparities. Therefore,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Rukhshanda Hussain , Hritam Basak

Optical Coherence Tomography (OCT) has become one of the most used imaging modality in ophthalmology. It provides high-resolution, non-invasive visualization of retinal microarchitecture. The automated analysis of OCT images through…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Hedi Tabia , Désiré Sidibé , Nawres Khlifa , Ahmed Tabia , Ines Rahmany , Noura Aboudi , Zainab Haddad , Hajer Khachnaoui , Hsouna Zgolli

Computer vision and image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of interest such as lesions and anatomical structures from the…

Medical Physics · Physics 2020-04-23 Meysam Tavakoli , Mahdieh Nazar , Alireza Golestaneh , Faraz Kalantari

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 (OCT) scanning is useful in detecting various retinal diseases. However, there are not enough ophthalmologists who can diagnose retinal OCT images in much of the world. To provide OCT screening inexpensively and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Ayaka Suzuki , Yoshiro Suzuki

Retinal vessel segmentation is of great interest for diagnosis of retinal vascular diseases. To further improve the performance of vessel segmentation, we propose IterNet, a new model based on UNet, with the ability to find obscured details…

Image and Video Processing · Electrical Eng. & Systems 2019-12-13 Liangzhi Li , Manisha Verma , Yuta Nakashima , Hajime Nagahara , Ryo Kawasaki

Segmentation of retinal layers from Optical Coherence Tomography (OCT) volumes is a fundamental problem for any computer aided diagnostic algorithm development. This requires preprocessing steps such as denoising, region of interest…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Karthik Gopinath , Samrudhdhi B Rangrej , Jayanthi Sivaswamy

Purpose: To develop a deep learning approach to digitally-stain optical coherence tomography (OCT) images of the optic nerve head (ONH). Methods: A horizontal B-scan was acquired through the center of the ONH using OCT (Spectralis) for 1…

Automated and accurate segmentation of cystoid structures in Optical Coherence Tomography (OCT) is of interest in the early detection of retinal diseases. It is, however, a challenging task. We propose a novel method for localizing cysts in…

Computer Vision and Pattern Recognition · Computer Science 2017-08-29 Karthik Gopinath , Jayanthi Sivaswamy

Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) are key diagnostic tools for clinical evaluation and management of retinal diseases. Compared to traditional OCT, OCTA provides richer microvascular…

Image and Video Processing · Electrical Eng. & Systems 2025-04-01 Renzhi Tian , Jinjie Wang , Wei Yang , Weizhen Li , Haoran Chen , Yiran Zhu , Chengchang Pan , Honggang Qi

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