Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22722
Abstract: The cataract is the most common cause of severe vision impairment or blindness worldwide. A periodical diagnosis is recommended in order to prevent cataract severity, where screening might be feasibly ensured through fundus images. In… read more here.
Keywords: neural networks; ensemble learning; stacking ensemble; fundus images ... See more keywords
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22797
Abstract: Glaucoma is an eye disease in which the retinal nerve fibers are irreversibly damaged. Early identification of glaucoma is essential because it may slow the progression of the illness. The clinical treatments and medical imaging… read more here.
Keywords: glaucoma; based glcm; fundus images; using bps ... See more keywords
Blood vessel segmentation in color fundus images based on regional and Hessian features
Sign Up to like & getrecommendations! Published in 2017 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-017-3677-y
Abstract: PurposeTo propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis.MethodsFirstly, color fundus images from the publicly available database DRIVE were converted from RGB… read more here.
Keywords: fundus images; vessel segmentation; color fundus; hessian features ... See more keywords
Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Sign Up to like & getrecommendations! Published in 2020 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-020-04609-8
Abstract: Purpose To develop a deep learning approach based on deep residual neural network (ResNet101) for the automated detection of glaucomatous optic neuropathy (GON) using color fundus images, understand the process by which the model makes… read more here.
Keywords: fundus images; color fundus; gon confirmed; model ... See more keywords
An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-03974-0
Abstract: The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep… read more here.
Keywords: diabetic retinopathy; fundus images; retinopathy detection; retinal fundus ... See more keywords
An abnormality detection of retinal fundus images by deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09217-6
Abstract: Identification of retinal diseases is a test for the ophthalmologists as the anomalies are just unmistakable at the beginning period. Early detection of these diseases can avoid lasting vision misfortune. Dealing with a lot of… read more here.
Keywords: fundus images; retinal fundus; deep convolutional; convolutional neural ... See more keywords
An improved luminosity and contrast enhancement framework for feature preservation in color fundus images
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1401-y
Abstract: Insufficient luminosity and poor local contrast are the major hurdles affecting the visual quality of the fundus images. A suitable framework is proposed for the enhanced visual perception of color fundus images based on a… read more here.
Keywords: luminosity; fundus images; color; enhancement ... See more keywords
Weak label based Bayesian U-Net for optic disc segmentation in fundus images.
Sign Up to like & getrecommendations! Published in 2022 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2022.102261
Abstract: Fundus images have been widely used in routine examinations of ophthalmic diseases. For some diseases, the pathological changes mainly occur around the optic disc area; therefore, detection and segmentation of the optic disc are critical… read more here.
Keywords: fundus images; segmentation; bayesian net; optic disc ... See more keywords
A generalized method for the detection of vascular structure in pathological retinal images
Sign Up to like & getrecommendations! Published in 2017 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2016.09.002
Abstract: Abstract Variations in blood vasculature morphology of retinal fundus images is one of the dominant characteristic for the early detection and analysis of retinal abnormalities. Therefore the accurate interpretation of blood vasculature is useful for… read more here.
Keywords: fundus images; retinal fundus; vasculature; vascular structures ... See more keywords
Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images
Sign Up to like & getrecommendations! Published in 2022 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106579
Abstract: BACKGROUND AND OBJECTIVE Diabetes-related cases can cause glaucoma, cataracts, optic neuritis, paralysis of the eye muscles, or various retinal damages over time. Diabetic retinopathy is the most common form of blindness that occurs with diabetes.… read more here.
Keywords: fundus images; segmentation; retinopathy disease; diabetic retinopathy ... See more keywords
A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.09.008
Abstract: Human retina is a diverse and important tissue, vastly studied for various retinal and other diseases. Diabetic retinopathy (DR), a leading cause of blindness, is one of them. This work proposes a novel and complete… read more here.
Keywords: framework; progression; diabetic retinopathy; fundus images ... See more keywords