Classification of neovascularization on retinal images using extreme learning machine
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22529
Abstract: Proliferative diabetic retinopathy is the advanced stage of diabetic retinopathy (DR) resulting in the growth of abnormal vessels on the retinal surface termed as neovascularization. This article primarily deals with the timely detection and classification… read more here.
Keywords: classification; extreme learning; using extreme; learning machine ... See more keywords
Automatic detection and recognition of optic disk with maker-controlled watershed segmentation and mathematical morphology in color retinal images
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2681-9
Abstract: Optic disk (OD) detection and recognition is an important stage for developing automatic screening applications of diabetic retinopathy disease in color retinal image. However, the retinal image has a low resolution and was influenced by… read more here.
Keywords: optic disk; color; detection; image ... See more keywords
Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05060-w
Abstract: In this work, we present a new methodology to simultaneously segment anatomical structures in medical images. Additionally, this methodology is instantiated in a method that is used to simultaneously segment the optic disc (OD) and… read more here.
Keywords: methodology; disc fovea; segmentation; retinal images ... See more keywords
Decision Support System for Detection of Papilledema through Fundus Retinal Images
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0712-9
Abstract: A condition in which the optic nerve inside the eye is swelled due to increased intracranial pressure is known as papilledema. The abnormalities due to papilledema such as opacification of Retinal Nerve Fiber Layer (RNFL),… read more here.
Keywords: system; retinal images; optic disc; fundus retinal ... 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
Detecting disorders in retinal images using machine learning techniques
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01841-2
Abstract: The importance of the research is to detect disorders in retinal images using machine learning techniques. Eyes play an important role in our day to day life and are the most valuable gift we have… read more here.
Keywords: image; machine learning; disorders retinal; retinal images ... See more keywords
Retinal image assessment using bi-level adaptive morphological component analysis
Sign Up to like & getrecommendations! Published in 2019 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2019.07.010
Abstract: The automated analysis of retinal images is a widely researched area which can help to diagnose several diseases like diabetic retinopathy in early stages of the disease. More specifically, separation of vessels and lesions is… read more here.
Keywords: retinal images; retinal image; diabetic retinopathy; morphological component ... See more keywords
Detection of anaemia from retinal images
Sign Up to like & getrecommendations! Published in 2019 at "Nature Biomedical Engineering"
DOI: 10.1038/s41551-019-0504-2
Abstract: A deep-learning algorithm trained with retinal images and subject metadata from the UK Biobank predicts blood-haemoglobin levels. read more here.
Keywords: anaemia retinal; detection anaemia; retinal images;
Drusen Segmentation From Retinal Images via Supervised Feature Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2786271
Abstract: This paper presents a supervised feature learning method to learn discriminative and compact descriptors for drusen segmentation from retinal images. This method combines generalized low rank approximation of matrices with supervised manifold regularization to learn… read more here.
Keywords: feature learning; drusen segmentation; supervised feature; segmentation retinal ... See more keywords
Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2761543
Abstract: Tree-like structures, such as retinal images, are widely studied in computer-aided diagnosis systems for large-scale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist several limitations specifically when two… read more here.
Keywords: extracting vessel; kernel extracting; vessel connections; integration kernel ... See more keywords
Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.7.3.034501
Abstract: Abstract. Purpose: Diabetic retinopathy is the leading cause of blindness, affecting over 93 million people. An automated clinical retinal screening process would be highly beneficial and provide a valuable second opinion for doctors worldwide. A… read more here.
Keywords: retinal images; detection grading; machine; architecture ... See more keywords