Review on diabetic retinopathy with deep learning methods
Purpose: The purpose of our review paper is to examine many existing works of literature
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …
Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning
S Bengani - Multimedia Tools and Applications, 2021 - Springer
Diseases of the eye require manual segmentation and examination of the optic disc by
ophthalmologists. Though, image segmentation using deep learning techniques is …
ophthalmologists. Though, image segmentation using deep learning techniques is …
Retinal image restoration and vessel segmentation using modified cycle-cbam and cbam-unet
A Alimanov, MB Islam - 2022 Innovations in Intelligent Systems …, 2022 - ieeexplore.ieee.org
Clinical screening with low-quality fundus images is challenging and significantly leads to
misdiagnosis. This paper addresses the issue of improving the retinal image quality and …
misdiagnosis. This paper addresses the issue of improving the retinal image quality and …
A novel approach for fundus image enhancement
Fundus image enhancement is an essential and challenging pre-processing step for
automated diagnosis of ocular disorders. The enhancement works reported earlier were …
automated diagnosis of ocular disorders. The enhancement works reported earlier were …
Examining the quality of learned representations in self-supervised medical image analysis: a comprehensive review and empirical study
Abstract Medical Image Analysis (MIA) is integral to healthcare, demanding advanced
computational techniques for precise diagnostics and treatment planning. The demand for …
computational techniques for precise diagnostics and treatment planning. The demand for …
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders
Diabetic retinopathy (DR) and Diabetic Macular Edema (DME) are severe diseases that
affect the eyes due to damage in blood vessels. Computer‐aided automated grading will …
affect the eyes due to damage in blood vessels. Computer‐aided automated grading will …
Multi-Label Classification of Fundus Images with Optimized Vision Transformer Based Wasserstein Deep Convolutional Generative Adversarial Network
K Sreekumar, ER Vimina - SN Computer Science, 2024 - Springer
Early retinal disease diagnosis and treatment are essential for preventing the irreversible
vision impairment. The patients in the clinical settings have various kinds of retinal disorders …
vision impairment. The patients in the clinical settings have various kinds of retinal disorders …
Soft-Attention Based Person Re-Identification in Real-world Settings using Variational AutoEncoders
EB Baoues, I Jegham, M El Yacoubi… - … Conference on Human …, 2024 - ieeexplore.ieee.org
Person re-identification is still an open challenging task in various fields due to numerous
factors, including illumination changes, background clutter, pose state variations and cloth …
factors, including illumination changes, background clutter, pose state variations and cloth …
Window-level is a strong denoising surrogate
CT image quality is heavily reliant on radiation dose, which causes a trade-off between
radiation dose and image quality that affects the subsequent image-based diagnostic …
radiation dose and image quality that affects the subsequent image-based diagnostic …
Simplifying Glaucoma Diagnosis with U-Net on Retinal Images
MK Mayee, MH Khanam - Traitement du Signal, 2024 - search.proquest.com
Visual impairment caused by glaucoma is a commonly observed phenomenon around the
world. As it progressively damages the optic nerve fibers, it is incurable in its later stages …
world. As it progressively damages the optic nerve fibers, it is incurable in its later stages …