Non-proliferative diabetic retinopathy symptoms detection and classification using neural network
MA Al-Jarrah, H Shatnawi - Journal of medical engineering & …, 2017 - Taylor & Francis
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in
most countries. The increasing number of people with diabetes worldwide suggests that DR …
most countries. The increasing number of people with diabetes worldwide suggests that DR …
Semi-supervised learning based on cataract classification and grading
W Song, P Wang, X Zhang… - 2016 IEEE 40th annual …, 2016 - ieeexplore.ieee.org
Cataract is one of the major causes of blindness and vision impairment. In previous research
work which includes fundus image pre-processing, feature extraction and using labeled …
work which includes fundus image pre-processing, feature extraction and using labeled …
[HTML][HTML] Exudates and blood vessel segmentation in eye fundus images using the Fourier and cosine discrete transforms
LD Lara Rodríguez, G Urcid Serrano - Computación y Sistemas, 2016 - scielo.org.mx
This paper presents a new method using discrete transforms to segment blood vessels and
exudates in eye fundus color images. To obtain the desired segmentation, an illumination …
exudates in eye fundus color images. To obtain the desired segmentation, an illumination …
[PDF][PDF] Image Segmentation and Localization in Retinal Fundus Images
S Deshmukh - International Journal of Advances in Engineering and …, 2021 - ijaem.net
There is a noticeable rise in computing solutions for disease detection using Diagnostic
Images. These recent scientific advances to provide computer-aided guidance using …
Images. These recent scientific advances to provide computer-aided guidance using …
Automatic detection of diabetic related retina disease in fundus color images
LJU Valencia - 2020 - inaoe.repositorioinstitucional.mx
Diabetic retinopathy (DR) is a degenerative visual complication associated with diabetes
which is rapidly increasing worldwide and currently is one of the leading causes of …
which is rapidly increasing worldwide and currently is one of the leading causes of …
[PDF][PDF] High Quality-Low Computational Cost Technique for Automated Principal Object Segmentation Applied in Solar and Medical Imaging.
SMA Hayajneh, AR Rashad, OA Saraereh… - Comput. Inf …, 2016 - pdfs.semanticscholar.org
The objective of this paper is to introduce a fully computerized, simple and low-
computational cost technique that can be used in the preprocessing stages of digital images …
computational cost technique that can be used in the preprocessing stages of digital images …
[PDF][PDF] Blood vessels and exudates segmentation in eye fundus images based on Fourier Filtering
LD Lara-Rodriguez, E López-Meléndez… - Proc. of the World …, 2015 - iaeng.org
This paper presents a Fourier transform approach to segment blood vessels and exudates in
eye fundus color images. The basic idea consists in an illumination enhancement using an …
eye fundus color images. The basic idea consists in an illumination enhancement using an …
Pathologies Segmentation in Eye Fundus Images Based on Frequency Domain Filters
This chapter presents a novel method based on discrete frequency transforms to segment
various pathologies in eye fundus color images such as exudates, blood vessels, and …
various pathologies in eye fundus color images such as exudates, blood vessels, and …