Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics
Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
[HTML][HTML] A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features
This paper proposes a new supervised method for blood vessel segmentation using Zernike
moment-based shape descriptors. The method implements a pixel wise classification by …
moment-based shape descriptors. The method implements a pixel wise classification by …
[PDF][PDF] 基于改进U-Net 视网膜血管图像分割算法
李大湘， 张振 - Acta Optica Sinica, 2020 - researching.cn
摘要针对视网膜图像中血管细小而导致其分割精度低等问题, 通过在UGNet
网络中引入Inception, 空洞卷积与注意力机制等模块, 提出一种改进UGNet …
网络中引入Inception, 空洞卷积与注意力机制等模块, 提出一种改进UGNet …
Computational methods for automated analysis of corneal nerve images: Lessons learned from retinal fundus image analysis
T Salahuddin, U Qidwai - Computers in Biology and Medicine, 2020 - Elsevier
Corneal and retinal imaging provide a descriptive view of the nerve and vessel structure
present inside the human eye, in a non-invasive manner. This helps in ocular, or other …
present inside the human eye, in a non-invasive manner. This helps in ocular, or other …
Retinal vessel segmentation using multifractal characterization
DA Palanivel, S Natarajan, S Gopalakrishnan - Applied Soft Computing, 2020 - Elsevier
This study presents a supervised classification method for the segmentation of retinal
vessels using fundus images. This work proposes a novel retinal vasculature segmentation …
vessels using fundus images. This work proposes a novel retinal vasculature segmentation …
Multi-label classification scheme based on local regression for retinal vessel segmentation
B Zou, Y Dai, Q He, C Zhu, G Liu, Y Su… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
Segmenting small retinal vessels with width less than 2 pixels in fundus images is a
challenging task. In this paper, in order to effectively segment the vessels, especially the …
challenging task. In this paper, in order to effectively segment the vessels, especially the …
The little w-net that could: state-of-the-art retinal vessel segmentation with minimalistic models
The segmentation of the retinal vasculature from eye fundus images represents one of the
most fundamental tasks in retinal image analysis. Over recent years, increasingly complex …
most fundamental tasks in retinal image analysis. Over recent years, increasingly complex …
A regularized attribute weighting framework for naive Bayes
The Bayesian classification framework has been widely used in many fields, but the
covariance matrix is usually difficult to estimate reliably. To alleviate the problem, many …
covariance matrix is usually difficult to estimate reliably. To alleviate the problem, many …
An efficient adaptive histogram based segmentation and extraction model for the classification of severities on diabetic retinopathy
J Vaishnavi, S Ravi, A Anbarasi - Multimedia Tools and Applications, 2020 - Springer
Diabetic retinopathy (DR) is an important retinal disease, which occurs commonly among
diabetic patients. This disease severely injures the basic vision of the eye and results in …
diabetic patients. This disease severely injures the basic vision of the eye and results in …
Parallel architecture of fully convolved neural network for retinal vessel segmentation
V Sathananthavathi, G Indumathi… - Journal of digital …, 2020 - search.proquest.com
Retinal blood vessel extraction is considered to be the indispensable action for the
diagnostic purpose of many retinal diseases. In this work, a parallel fully convolved neural …
diagnostic purpose of many retinal diseases. In this work, a parallel fully convolved neural …