Retinal imaging and image analysis
Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …
retina. While a number of other anatomical structures contribute to the process of vision, this …
Computer-aided diagnosis of diabetic retinopathy: A review
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network
Screening for vision threatening diabetic retinopathy by grading digital retinal images
reduces the risk of blindness in people with diabetes. Computer-aided diagnosis can aid …
reduces the risk of blindness in people with diabetes. Computer-aided diagnosis can aid …
Image preprocessing in classification and identification of diabetic eye diseases
Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients.
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Detection and classification of retinal lesions for grading of diabetic retinopathy
Diabetic Retinopathy (DR) is an eye abnormality in which the human retina is affected due to
an increasing amount of insulin in blood. The early detection and diagnosis of DR is vital to …
an increasing amount of insulin in blood. The early detection and diagnosis of DR is vital to …
Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques
Optic disc (OD) detection is an important step in develo** systems for automated
diagnosis of various serious ophthalmic pathologies. This paper presents a new template …
diagnosis of various serious ophthalmic pathologies. This paper presents a new template …
Retinal image analysis: concepts, applications and potential
As digital imaging and computing power increasingly develop, so too does the potential to
use these technologies in ophthalmology. Image processing, analysis and computer vision …
use these technologies in ophthalmology. Image processing, analysis and computer vision …
Identification and classification of microaneurysms for early detection of diabetic retinopathy
Diabetic retinopathy is a progressive eye disease which may cause blindness if not detected
and treated in time. The early detection and diagnosis of diabetic retinopathy is important to …
and treated in time. The early detection and diagnosis of diabetic retinopathy is important to …
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Diabetic macular edema (DME) is a common vision threatening complication of diabetic
retinopathy. In a large scale screening environment DME can be assessed by detecting …
retinopathy. In a large scale screening environment DME can be assessed by detecting …
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
Diabetic retinopathy is a complication of diabetes that is caused by changes in the blood
vessels of the retina. The symptoms can blur or distort the patient's vision and are a main …
vessels of the retina. The symptoms can blur or distort the patient's vision and are a main …