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Automated drusen segmentation in retinal optical coherence tomography (OCT) scans is relevant for understanding age-related macular degeneration (AMD) risk and progression. This task is usually performed by segmenting the top/bottom…

Image and Video Processing · Electrical Eng. & Systems 2019-07-25 Rhona Asgari , José Ignacio Orlando , Sebastian Waldstein , Ferdinand Schlanitz , Magdalena Baratsits , Ursula Schmidt-Erfurth , Hrvoje Bogunović

This paper addresses the problem of identifying two main types of lesions - Exudates and Microaneurysms - caused by Diabetic Retinopathy (DR) in the eyes of diabetic patients. We make use of Convolutional Neural Networks (CNNs) and Transfer…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Farzan Shenavarmasouleh , Hamid R. Arabnia

Glass-like objects are widespread in daily life but remain intractable to be segmented for most existing methods. The transparent property makes it difficult to be distinguished from background, while the tiny separation boundary further…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Ke Fan , Changan Wang , Yabiao Wang , Chengjie Wang , Ran Yi , Lizhuang Ma

Interfaces between stratified epithelia and their supporting stromas commonly exhibit irregular shapes. Undulations are particularly pronounced in dysplastic tissues and typically evolve into long, finger-like protrusions in carcinomas. In…

Biological Physics · Physics 2013-06-25 Thomas Risler , Markus Basan

The cornea, as the outer element of the human eye, plays a pivotal role in vision. Any defects in its shape can result in visual impairments. Mechanical defect manifest as shape defects, as the cornea is under to pressure. Our study…

Medical Physics · Physics 2024-04-29 Chloé Giraudet , Qian Wu , Jean-Marc Allain

Accurate segmentation of retinal vessels is a basic step in Diabetic retinopathy(DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and hence they are unable to capture global context…

Computer Vision and Pattern Recognition · Computer Science 2019-04-12 Yun Jiang , Ning Tan , Tingting Peng , Hai Zhang

We present a detailed physiological model of the retina that includes the biochemistry and electrophysiology of phototransduction, neuronal electrical coupling, and the spherical geometry of the eye. The model is a parabolic-elliptic system…

Quantitative Methods · Quantitative Biology 2023-03-09 Belal Abuelnasr , Adam R. Stinchcombe

Diabetic Retinopathy (DR) is a major cause of blindness worldwide, caused by damage to the blood vessels in the retina due to diabetes. Early detection and classification of DR are crucial for timely intervention and preventing vision loss.…

Image and Video Processing · Electrical Eng. & Systems 2025-01-07 Debjany Ghosh Aronno , Sumaiya Saeha

Noisy data and the similarity in the ocular appearances caused by different ophthalmic pathologies pose significant challenges for an automated expert system to accurately detect retinal diseases. In addition, the lack of knowledge…

Image and Video Processing · Electrical Eng. & Systems 2021-10-20 Sharif Amit Kamran , Alireza Tavakkoli , Stewart Lee Zuckerbrod

Diabetic retinopathy (DR) is a diabetes complication that affects eyes. DR is a primary cause of blindness in working-age people and it is estimated that 3 to 4 million people with diabetes are blinded by DR every year worldwide. Early…

Computer Vision and Pattern Recognition · Computer Science 2019-11-21 Qilei Chen , Xinzi Sun , Ning Zhang , Yu Cao , Benyuan Liu

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

Diabetic Retinopathy (DR) is an eye disease which arises due to diabetes mellitus. It might cause vision loss and blindness. To prevent irreversible vision loss, early detection through systematic screening is crucial. Although researchers…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Aruna Jithesh , Chinmayi Karumuri , Venkata Kiran Reddy Kotha , Meghana Doddapuneni , Taehee Jeong

Diabetic retinopathy is a leading cause of vision impairment, making its early diagnosis through fundus imaging critical for effective treatment planning. However, the presence of poor quality fundus images caused by factors such as…

Image and Video Processing · Electrical Eng. & Systems 2025-04-15 Uyen Phan , Ozer Can Devecioglu , Serkan Kiranyaz , Moncef Gabbouj

Diabetic Retinopathy (DR) is a serious microvascular complication of diabetes, and one of the leading causes of vision loss worldwide. Although automated detection and grading, with Deep Learning (DL), can reduce the burden on…

Image and Video Processing · Electrical Eng. & Systems 2026-04-06 Shramana Dey , Zahir Khan , T. A. PramodKumar , B. Uma Shankar , Ashis K. Dhara , Ramachandran Rajalakshmi , Rajiv Raman , Sushmita Mitra

Surfaces eroded by ion-sputtering are sometimes observed to develop morphologies which are either ripple (periodic), or rough (non-periodic). We introduce a discrete stochastic model that allows us to interpret these experimental…

Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here, we propose to exploit the interpretability of deep…

Computer Vision and Pattern Recognition · Computer Science 2020-03-16 Yuhao Niu , Lin Gu , Feng Lu , Feifan Lv , Zongji Wang , Imari Sato , Zijian Zhang , Yangyan Xiao , Xunzhang Dai , Tingting Cheng

Epithelial tissues play a fundamental role in various morphogenetic events during development and early embryogenesis. Although epithelial monolayers are often modeled as two-dimensional (2D) elastic surfaces, they distinguish themselves…

Soft Condensed Matter · Physics 2020-06-15 Benjamin Loewe , Francesco Serafin , Suraj Shankar , Mark J. Bowick , M. Cristina Marchetti

The appearance and structure of blood vessels in retinal images have an important role in diagnosis of diseases. This paper proposes a method for automatic retinal vessel segmentation. In this work, a novel preprocessing based on local…

Computer Vision and Pattern Recognition · Computer Science 2013-12-31 Saeid Fazli , Sevin Samadi

The process of morphogenesis is an evolution of the shape of an organism together with the differentiation of its parts. This process encompasses numerous biological processes ranging from embryogenesis to regeneration following crisis such…

Other Quantitative Biology · Quantitative Biology 2019-09-23 N. Bessonov , O. Butuzova , A. Minarsky , R. Penner , C. Soule , A. Tosenberger , N. Morozova

Blind face restoration usually synthesizes degraded low-quality data with a pre-defined degradation model for training, while more complex cases could happen in the real world. This gap between the assumed and actual degradation hurts the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Zhixin Wang , Xiaoyun Zhang , Ziying Zhang , Huangjie Zheng , Mingyuan Zhou , Ya Zhang , Yanfeng Wang