[HTML][HTML] Artificial intelligence in retina

U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning

D Das, SK Biswas, S Bandyopadhyay - Multimedia Tools and Applications, 2022 - Springer
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …

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 …

An adaptive threshold based image processing technique for improved glaucoma detection and classification

A Issac, MP Sarathi, MK Dutta - Computer methods and programs in …, 2015 - Elsevier
Glaucoma is an optic neuropathy which is one of the main causes of permanent blindness
worldwide. This paper presents an automatic image processing based method for detection …

Retinal blood vessel segmentation using pixel-based feature vector

B Toptaş, D Hanbay - Biomedical Signal Processing and Control, 2021 - Elsevier
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 …

Automatic detection of exudates in digital color fundus images using superpixel multi-feature classification

W Zhou, C Wu, Y Yi, W Du - IEEE access, 2017 - ieeexplore.ieee.org
Exudates can be regarded as one of the most prevalent clinical signs of diabetic retinopathy,
and the detection of exudates has important clinical significance in diabetic retinopathy …

An approach to evaluate blurriness in retinal images with vitreous opacity for cataract diagnosis

L Xiong, H Li, L Xu - Journal of healthcare engineering, 2017 - Wiley Online Library
Cataract is one of the leading causes of blindness in the world's population. A method to
evaluate blurriness for cataract diagnosis in retinal images with vitreous opacity is proposed …

Fovea localization by blood vessel vector in abnormal fundus images

Y Fu, G Zhang, J Li, D Pan, Y Wang, D Zhang - Pattern Recognition, 2022 - Elsevier
In human eyes, macula is responsible for sharp central vision with fovea in the center. The
location of fovea becomes an important landmark in diagnosing the retinal diseases. As …

Fast detection of the main anatomical structures in digital retinal images based on intra-and inter-structure relational knowledge

JM Molina-Casado, EJ Carmona… - Computer methods and …, 2017 - Elsevier
Background and objective: The anatomical structure detection in retinal images is an open
problem. However, most of the works in the related literature are oriented to the detection of …

Which color channel is better for diagnosing retinal diseases automatically in color fundus photographs?

S Biswas, MIA Khan, MT Hossain, A Biswas, T Nakai… - Life, 2022 - mdpi.com
Color fundus photographs are the most common type of image used for automatic diagnosis
of retinal diseases and abnormalities. As all color photographs, these images contain …