Idrid: Diabetic retinopathy–segmentation and grading challenge

P Porwal, S Pachade, M Kokare, G Deshmukh… - Medical image …, 2020 - Elsevier
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …

EAD‐net: A novel lesion segmentation method in diabetic retinopathy using neural networks

C Wan, Y Chen, H Li, B Zheng, N Chen… - Disease …, 2021 - Wiley Online Library
Diabetic retinopathy (DR) is a common chronic fundus disease, which has four different
kinds of microvessel structure and microvascular lesions: microaneurysms (MAs) …

[PDF][PDF] Detection and grading of diabetic retinopathy in retinal images using deep intelligent systems: a comprehensive review

HAG Priya, J Anitha, DE Popescu, A Asokan… - Comput. Mater …, 2021 - academia.edu
Diabetic Retinopathy (DR) is an eye disease that mainly affects people with diabetes.
People affected by DR start losing their vision from an early stage even though the …

Color feature segmentation image for identification of cotton wool spots on diabetic retinopathy fundus

FS Pranata, J Na'am, R Hidayat - International Journal on …, 2020 - repository.upiyptk.ac.id
Fundus is an image of the inner eye surface in the form of a colored image. This image has a
lot of pixel values because it consists of three basic color components. The three colors are …

Classification of cotton wool spots using principal components analysis and support vector machine

S Sreng, N Maneerat, KY Win… - 2018 11th …, 2018 - ieeexplore.ieee.org
Diabetic retinopathy is a complication of the eye damage and can lead to being blindness if
it is late for treatment. Microaneurysms, exudates, hemorrhages and cotton wool spots are …

[PDF][PDF] Detecting Diabetic Retinopathy in Fundus images using Combined Enhanced Green and Value Planes (CEGVP) with k-NN

M Hardas, S Mathur, A Bhaskar - International Journal of …, 2022 - pdfs.semanticscholar.org
Diabetic Retinopathy (DR) is a disease that causes damage to the blood vessels of the
retina, especially in patients having high uncontrolled blood sugar levels, which may lead to …

Automatic Segmentation of Calcified Plaques and Vessel Borders from Abdominal Aorta CTA Images Using a 2D Spatial Convolutional Multilayer Machine Vision …

CH Lin, CC Pai, CD Kan, JX Wu… - IEEJ Transactions on …, 2023 - Wiley Online Library
The aorta, including the thoracic and abdominal aortas, distributes blood from the heart to
the upper and lower circulatory systems. Abdominal aortic sclerosis can cause abdominal …

A Review on Swarm intelligence & Evolutionary Algorithms based Approaches for Diabetic Retinopathy Detection

S Bhandari, S Pathak, SA Jain… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
Diabetic retinopathy has overtaken cataracts as the primary cause of new blindness
globally. Diabetics are more likely to develop cataracts, visual loss, glaucoma, excessive …

Grading of diabetic retinopathy using deep learning techniques

J Anitha, E Daniel - Computational Methods and Deep Learning for …, 2023 - Elsevier
Diabetic retinopathy (DR) is the most common prevalent cause of avoidable vision
impairment worldwide, primarily affecting the age group of people between 20 and 60 …

The Fusion of Features for Detection of Cotton Wool Spots in Digital Fundus Images

P Bannigidad, A Deshpande - … of the 12th International Conference on Soft …, 2021 - Springer
Abstract The Cotton Wool Spots are lesions seen on the surface of the retina among diabetic
patients. It indicates a pre-proliferative Diabetic Retinopathy state and needs to be treated …