A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
A survey on diabetic retinopathy lesion detection and segmentation
Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
Retinal blood vessel segmentation using pixel-based feature vector
A lot of important disease information can be accessed by performing retinal blood vessel
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
A novel hybrid optic disc detection and fovea localization method integrating region-based convnet and mathematical approach
Abstract Optic disc (OD), fovea, and blood vessels are major anatomical structures in a
fundus image. In retinal image processing, automated detection of structural parts is crucial …
fundus image. In retinal image processing, automated detection of structural parts is crucial …
Machine learning styles for diabetic retinopathy detection: a review and bibliometric analysis
Diabetic retinopathy (DR) is a medical condition caused by diabetes. The development of
retinopathy significantly depends on how long a person has had diabetes. Initially, there …
retinopathy significantly depends on how long a person has had diabetes. Initially, there …
Retinal multi-lesion segmentation by reinforcing single-lesion guidance with multi-view learning
L Zhang, Z Fang, T Li, Y Xiao, JT Zhou… - … Signal Processing and …, 2023 - Elsevier
The primary prerequisite for multi-lesion segmentation is the simultaneous detection of
multiple lesions. Numerous techniques based on the frameworks of simultaneous multi …
multiple lesions. Numerous techniques based on the frameworks of simultaneous multi …
A Multi-Layer stacked ensemble classifier model for improved classification accuracy of Maculopathy gradation
Diabetic Maculopathy (DME) is the serious impediments of diabetes, which may cause
permanent blindness unless timely detected. Vision impairment because of diabetes is …
permanent blindness unless timely detected. Vision impairment because of diabetes is …
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
Segmentation of retinal vessel images is critical to the diagnosis of retinopathy. Recently,
convolutional neural networks have shown significant ability to extract the blood vessel …
convolutional neural networks have shown significant ability to extract the blood vessel …
A novel retinal image segmentation using rSVM boosted convolutional neural network for exudates detection
Retinal image analysis is an emerging research field in ophthalmological disease diagnosis
since falsely detected optic disc, fovea, and blood vessels have become essential levels for …
since falsely detected optic disc, fovea, and blood vessels have become essential levels for …
nmODE-Unet: A Novel Network for Semantic Segmentation of Medical Images
S Wang, Y Chen, Z Yi - Applied Sciences, 2024 - mdpi.com
Diabetic retinopathy is a prevalent eye disease that poses a potential risk of blindness.
Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass …
Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass …