A systematic review on diabetic retinopathy detection using deep learning techniques
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …
and it becomes extremely time-consuming and challenging to detect manually. As a result …
[HTML][HTML] Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
[HTML][HTML] A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
Grading diabetic retinopathy using multiresolution based CNN
Diabetic Retinopathy (DR) refers to a medical condition that affects the eye; it occurs due to
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
RADCU-Net: Residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation
The automated segmentation of retinal blood vessels plays an important role in the
computer aided diagnosis of retinal diseases. In this study, we propose a novel retinal …
computer aided diagnosis of retinal diseases. In this study, we propose a novel retinal …
A survey on recent developments in diabetic retinopathy detection through integration of deep learning
S Agarwal, A Bhat - Multimedia Tools and Applications, 2023 - Springer
Diabetes, nowadays, is a very common disease throughout the world among people of all
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …
A lightweight network guided with differential matched filtering for retinal vessel segmentation
The geometric morphology of retinal vessels reflects the state of cardiovascular health, and
fundus images are important reference materials for ophthalmologists. Great progress has …
fundus images are important reference materials for ophthalmologists. Great progress has …
A learnable Gabor Convolution kernel for vessel segmentation
Vessel segmentation is significant for characterizing vascular diseases, receiving wide
attention of researchers. The common vessel segmentation methods are mainly based on …
attention of researchers. The common vessel segmentation methods are mainly based on …
[HTML][HTML] Adaptive deep clustering network for retinal blood vessel and foveal avascular zone segmentation
A Khan, J Hao, Z Dong, J Li - Applied Sciences, 2023 - mdpi.com
Optical coherence tomography angiography (OCTA) is a new non-invasive imaging
technology that provides detailed visual information on retinal biomarkers, such as the …
technology that provides detailed visual information on retinal biomarkers, such as the …
DPN: detail-preserving network with high resolution representation for efficient segmentation of retinal vessels
S Guo - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Retinal vessels are important biomarkers for many ophthalmological and cardiovascular
diseases. Hence, it is of great significance to develop automatic models for computer-aided …
diseases. Hence, it is of great significance to develop automatic models for computer-aided …