Results 1 to 10 of about 238,593 (148)

Vision transformer based interpretable metabolic syndrome classification using retinal Images [PDF]

npj Digital Medicine
Metabolic syndrome is leading to an increased risk of diabetes and cardiovascular disease. Our study developed a model using retinal image data from fundus photographs taken during comprehensive health check-ups to classify metabolic syndrome.
Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, Eun Kyung Choe, Kyung-Ah Sohn   +4 more
doaj   +2 more sources

A foundation model for generalizable disease detection from retinal images [PDF]

Nature, 2023
Yukun Zhou, Timing Liu, Moucheng Xu
exaly   +2 more sources

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

Sensors, 2021
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula, which causes fluid accumulation in the macula.
Tahira Nazir, Marriam Nawaz, Junaid Rashid, Rabbia Mahum, Momina Masood, Awais Mehmood, Farooq Ali, Jungeun Kim, Hyuk-Yoon Kwon, Amir Hussain   +9 more
doaj   +1 more source

Predicting the severity of white matter lesions among patients with cerebrovascular risk factors based on retinal images and clinical laboratory data: a deep learning study

Frontiers in Neurology, 2023
Background and purposeAs one common feature of cerebral small vascular disease (cSVD), white matter lesions (WMLs) could lead to reduction in brain function.
Liming Shu, Liming Shu, Kaiyi Zhong, Nanya Chen, Wenxin Gu, Wenjing Shang, Jiahui Liang, Jiahui Liang, Jiangtao Ren, Hua Hong   +9 more
doaj   +1 more source

Enhancement of Medical Images through an Iterative McCann Retinex Algorithm: A Case of Detecting Brain Tumor and Retinal Vessel Segmentation

Applied Sciences, 2022
Analyzing medical images has always been a challenging task because these images are used to observe complex internal structures of the human body. This research work is based on the study of the retinal fundus and magnetic resonance images (MRI) for the
Yassir Edrees Almalki, Nisar Ahmed Jandan, Toufique Ahmed Soomro, Ahmed Ali, Pardeep Kumar, Muhammad Irfan, Muhammad Usman Keerio, Saifur Rahman, Ali Alqahtani, Samar M. Alqhtani, Mohammed Awaji M. Hakami, Alqahtani Saeed S, Waleed A. Aldhabaan, Abdulrahman Samir Khairallah   +13 more
doaj   +1 more source

Retinal Image Enhancement Using Cycle-Constraint Adversarial Network

Frontiers in Medicine, 2022
Retinal images are the most intuitive medical images for the diagnosis of fundus diseases. Low-quality retinal images cause difficulties in computer-aided diagnosis systems and the clinical diagnosis of ophthalmologists.
Cheng Wan, Xueting Zhou, Qijing You, Jing Sun, Jianxin Shen, Shaojun Zhu, Qin Jiang, Weihua Yang   +7 more
doaj   +1 more source

End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss

IEEE Access, 2022
Retinal images are the most direct and effective basis for Diabetic Retinopathy (DR) diagnosis. With the rapid development of deep learning, the technology of retinal image-assisted diagnosis based on deep learning is widely used in the field of DR ...
Nan Liang, Liming Yuan, Xianbin Wen, Haixia Xu, Jingyi Wang   +4 more
doaj   +1 more source

Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes

Diagnostics, 2022
Glaucoma is a group of eye conditions that damage the optic nerve, the health of which is vital for good eyesight. This damage is often caused by higher-than-normal pressure in the eye.
Adrián Sánchez-Morales, Juan Morales-Sánchez, Oleksandr Kovalyk, Rafael Verdú-Monedero, José-Luis Sancho-Gómez   +4 more
doaj   +1 more source

A Comparison of the Tortuosity Phenomenon in Retinal Arteries and Veins Using Digital Image Processing and Statistical Methods

Mathematics, 2023
The tortuosity of retinal blood vessels is an important phenomenon, and it can act as a biomarker in the diagnosis of several eye diseases. The study of abnormalities in the tortuosity of retinal arteries and veins provides ophthalmologists with ...
Sufian A. Badawi, Maen Takruri, Djamel Guessoum, Isam Elbadawi, Ameera Albadawi, Ajay Nileshwar, Emad Mosalam   +6 more
doaj   +1 more source

Automatic production of synthetic labelled OCT images using an active shape model

IET Image Processing, 2020
Limited labelled data is a challenge in the field of medical imaging and the need for a large number of them is paramount for the training of machine learning algorithms, as well as measuring the performance of image processing algorithms. The purpose of
Hajar Danesh, Keivan Maghooli, Alireza Dehghani, Rahele Kafieh   +3 more
doaj   +1 more source