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Related papers: Retinal Image Segmentation with Small Datasets

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Worldwide, sight loss is commonly occurred by retinal diseases, with age-related macular degeneration (AMD) being a notable facet that affects elderly patients. Approaching 170 million persons wide-ranging have been spotted with AMD, a…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Khaled Al-Saih , Fares Al-Shargie , Mohammed Isam Al-hiyali , Reham Alhejaili

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

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…

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of permanent blindness in the working-age population. Automatic grading of DR and DME helps ophthalmologists design tailored treatments to patients, thus is…

Image and Video Processing · Electrical Eng. & Systems 2019-11-05 Xiaomeng Li , Xiaowei Hu , Lequan Yu , Lei Zhu , Chi-Wing Fu , Pheng-Ann Heng

Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being critical for effective treatment. Optical Coherence Tomography (OCT) has become a standard imaging modality for retinal disease diagnosis,…

Image and Video Processing · Electrical Eng. & Systems 2025-10-06 Jilan Cheng , Guoli Long , Zeyu Zhang , Zhenjia Qi , Hanyu Wang , Libin Lu , Shuihua Wang , Yudong Zhang , Jin Hong

Recent Alzheimer's disease (AD) patient studies have focused on retinal analysis, as the retina is the only part of the central nervous system which can be imaged non-invasively by optical methods. However as this is a relatively new…

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

Retinal lesions play a vital role in the accurate classification of retinal abnormalities. Many researchers have proposed deep lesion-aware screening systems that analyze and grade the progression of retinopathy. However, to the best of our…

Computer Vision and Pattern Recognition · Computer Science 2020-08-17 Taimur Hassan , Muhammad Usman Akram , Naoufel Werghi

Diabetic Retinopathy (DR) caused by diabetes occurs as a result of changes in the retinal vessels and causes visual impairment. Microaneurysms (MAs) are the early clinical signs of DR, whose timely diagnosis can help detecting DR in the…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Elahe Sadat Kazemi Nasab , Ramin Almasi , Bijan Shoushtarian , Ehsan Golkar , Hossein Rabbani

Stroke is a major public health problem, affecting millions worldwide. Deep learning has recently demonstrated promise for enhancing the diagnosis and risk prediction of stroke. However, existing methods rely on costly medical imaging…

Image and Video Processing · Electrical Eng. & Systems 2025-12-17 Saeed Shurrab , Aadim Nepal , Terrence J. Lee-St. John , Nicola G. Ghazi , Bartlomiej Piechowski-Jozwiak , Farah E. Shamout

Early and accurate classification of retinal diseases is critical to counter vision loss and for guiding clinical management of retinal diseases. In this study, we proposed a deep learning method for retinal disease classification utilizing…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Mohammad Tahmid Noor , Shayan Abrar , Jannatul Adan Mahi , Md Parvez Mia , Asaduzzaman Hridoy , Samanta Ghosh

Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However, it is challenging to achieve accurate segmentation due to…

Image and Video Processing · Electrical Eng. & Systems 2024-04-26 Xiang He , Weiye Song , Yiming Wang , Fabio Poiesi , Ji Yi , Manishi Desai , Quanqing Xu , Kongzheng Yang , Yi Wan

Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous systems to recognize retinopathy via fundus and optical…

Image and Video Processing · Electrical Eng. & Systems 2021-11-05 Taimur Hassan , Bilal Hassan , Muhammad Usman Akram , Shahrukh Hashmi , Abdel Hakim Taguri , Naoufel Werghi

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

The automatic segmentation of retinal layer structures enables clinically-relevant quantification and monitoring of eye disorders over time in OCT imaging. Eyes with late-stage diseases are particularly challenging to segment, as their…

Computer Vision and Pattern Recognition · Computer Science 2017-07-18 Stefanos Apostolopoulos , Sandro De Zanet , Carlos Ciller , Sebastian Wolf , Raphael Sznitman

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

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

Age-related macular degeneration (AMD) is the most common cause of blindness in developed countries, especially in people over 60 years of age. The workload of specialists and the healthcare system in this field has increased in recent…

Image and Video Processing · Electrical Eng. & Systems 2022-02-07 Saman Sotoudeh-Paima , Ata Jodeiri , Fedra Hajizadeh , Hamid Soltanian-Zadeh

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