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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

The Segment Anything Model (SAM) has gained significant attention in the field of image segmentation due to its impressive capabilities and prompt-based interface. While SAM has already been extensively evaluated in various domains, its…

Image and Video Processing · Electrical Eng. & Systems 2023-09-01 Botond Fazekas , José Morano , Dmitrii Lachinov , Guilherme Aresta , Hrvoje Bogunović

This paper reports on advances in optical coherence tomography (OCT) for application in dermatology. Full-field OCT is a particular approach of OCT based on white-light interference microscopy. FF-OCT produces en face tomographic images by…

Medical Physics · Physics 2018-04-06 Olivier Levecq , Arthur Davis , Hicham Azimani , David Siret , Jean-Luc Perrot , Arnaud Dubois

While most previous automation-assisted reading methods can improve efficiency, their performance often relies on the success of accurate cell segmentation and hand-craft feature extraction. This paper presents an efficient and totally…

Computer Vision and Pattern Recognition · Computer Science 2019-12-17 Yao Xiang , Wanxin Sun , Changli Pan , Meng Yan , Zhihua Yin , Yixiong Liang

In CT angiography, the accurate segmentation of abdominal aortic aneurysms (AAAs) is difficult due to large anatomical variability, low-contrast vessel boundaries, and the close proximity of organs whose intensities resemble vascular…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Osamah Sufyan , Martin Brückmann , Ralph Wickenhöfer , Babette Dellen , Uwe Jaekel

Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting premature infants with lower weights. It causes proliferation of vessels in the retina and could result in vision loss and, eventually, retinal detachment, leading to…

Image and Video Processing · Electrical Eng. & Systems 2020-04-06 Alexander Ding , Qilei Chen , Yu Cao , Benyuan Liu

A major focus of clinical imaging workflow is disease diagnosis and management, leading to medical imaging datasets strongly tied to specific clinical objectives. This scenario has led to the prevailing practice of developing task-specific…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Yunhe Gao , Zhuowei Li , Di Liu , Mu Zhou , Shaoting Zhang , Dimitris N. Metaxas

Precise segmentation of objects with highly similar shapes remains a challenging problem in dense prediction, especially in scenarios with ambiguous boundaries, overlapping instances, and weak inter-instance visual differences. While…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Rui Xiao

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

Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV) modules. EL images provide high spatial resolution, which makes it possible to detect even finest defects on the surface of PV modules. However,…

Computer Vision and Pattern Recognition · Computer Science 2019-08-15 Sergiu Deitsch , Vincent Christlein , Stephan Berger , Claudia Buerhop-Lutz , Andreas Maier , Florian Gallwitz , Christian Riess

Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, non-invasive imaging but can suffer from clarity issues and motion artifacts,…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Xin Tian , Nantheera Anantrasirichai , Lindsay Nicholson , Alin Achim

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

We propose UOLO, a novel framework for the simultaneous detection and segmentation of structures of interest in medical images. UOLO consists of an object segmentation module which intermediate abstract representations are processed and…

Computer Vision and Pattern Recognition · Computer Science 2019-06-18 Teresa Araújo , Guilherme Aresta , Adrian Galdran , Pedro Costa , Ana Maria Mendonça , Aurélio Campilho

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

Infertility is becoming an issue for an increasing number of couples. The most common solution, in vitro fertilization, requires embryologists to carefully examine light microscopy images of human oocytes to determine their developmental…

Image and Video Processing · Electrical Eng. & Systems 2022-01-10 Denis Baručić , Jan Kybic , Olga Teplá , Zinovij Topurko , Irena Kratochvílová

Almost all existing amodal segmentation methods make the inferences of occluded regions by using features corresponding to the whole image. This is against the human's amodal perception, where human uses the visible part and the shape prior…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Yuting Xiao , Yanyu Xu , Ziming Zhong , Weixin Luo , Jiawei Li , Shenghua Gao

For accurate glaucoma diagnosis and monitoring, reliable retinal layer segmentation in OCT images is essential. However, existing 2D segmentation methods often suffer from slice-to-slice inconsistencies due to the lack of contextual…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Hyunwoo Kim , Heesuk Kim , Wungrak Choi , Jae-Sang Hyun

Optical coherence tomography (OCT) is a non-invasive imaging technique widely used for ophthalmology. It can be extended to OCT angiography (OCT-A), which reveals the retinal vasculature with improved contrast. Recent deep learning…

Image and Video Processing · Electrical Eng. & Systems 2021-07-12 Dewei Hu , Can Cui , Hao Li , Kathleen E. Larson , Yuankai K. Tao , Ipek Oguz

Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly used for the diagnosis and monitoring of…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Stefan Maetschke , Bhavna Antony , Hiroshi Ishikawa , Gadi Wollstein , Joel S. Schuman , Rahil Garnavi

A variety of vision ailments are associated with geographic atrophy (GA) in the foveal region of the eye. In current clinical practice, the ophthalmologist manually detects potential presence of such GA based on fundus autofluorescence…