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D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation
Automating retinal vessel segmentation is a primary element of computer-aided diagnostic systems for many retinal diseases. It facilitates the...
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A comprehensive review of artificial intelligence models for screening major retinal diseases
This paper provides a systematic survey of artificial intelligence (AI) models that have been proposed over the past decade to screen retinal...
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A novel automatic retinal vessel extraction using maximum entropy based EM algorithm
The extraction of blood vessels helps in the diagnosis of diseases and to develop advances of medicine. Retinal blood vessel extraction plays a...
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Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature
In a fundus image, Vessel local characteristics like direction, illumination and noise vary considerably, making vessel segmentation a challenging...
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A meta-level analysis of online anomaly detectors
Real-time detection of anomalies in streaming data is receiving increasing attention as it allows us to raise alerts, predict faults, and detect...
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Multi-dimensional cascades neural network models for the segmentation of retinal vessels in colour fundus images
Deep learning has recently received attention as one of the most popular methods for boosting performance in different sectors, including medical...
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Medical image segmentation using customized U-Net with adaptive activation functions
Since medical imaging is a fundamental step in clinical diagnosis and treatment, medical image processing is an attractive field for researchers....
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BLU-GAN: Bi-directional ConvLSTM U-Net with Generative Adversarial Training for Retinal Vessel Segmentation
Retinal vascular morphometry is an important biomarker of eye-related cardiovascular diseases such as diabetes and hypertension. And retinal vessel...
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Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review
Diabetes is a long-term condition in which the pancreas quits producing insulin or the body’s insulin isn’t utilised properly. One of the signs of...
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RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network
High fidelity segmentation of both macro and microvascular structure of the retina plays a pivotal role in determining degenerative retinal diseases,...
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An Effective Threshold Based Technique for Retinal Image Blood Vessel Segmentation on Fundus Image Using Average and Gaussian Filters
The fundamental components of automated retinal blood vessel segmentation for eye disease screening systems are segmentation algorithms, retinal...
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A Pilot Study on Auditory Feedback for a Lower-Limb Exoskeleton to Increase Walking Safety
The ontological feedback is important to ensure the safety when walking. The current lower-limb exoskeleton (LLE) systems are developed widely to...
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Super-Resolution Based Automatic Diagnosis of Retinal Disease Detection for Clinical Applications
In medical image processing, the automatic analysis of pathology localization and the anatomical segmentation steps are more important. The Fundus...
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Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant concerns for healthcare officials worldwide. Diabetic...
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A survey on recent developments in diabetic retinopathy detection through integration of deep learning
Diabetes, nowadays, is a very common disease throughout the world among people of all ages. The higher level of blood sugar in the blood more often...
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Learning multi-scale deep fusion for retinal blood vessel extraction in fundus images
Segmentation of retinal blood vessels is crucial in the automated diagnosis of many retinal and cardiovascular diseases. The process of precise...
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Retinal vessel image segmentation algorithm based on encoder-decoder structure
The accurate segmentation of retinal vessel image is significant for the early diagnosis of some diseases. A retinal vessel image segmentation...
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LGHAE: Local and Global Hyper-relation Aggregation Embedding for Link Prediction
The Knowledge Graph (KGs) have profoundly impacted many research fields. However, there is a problem of low data integrity in KGs. The...
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Dual image based secured reversible data hiding scheme exploiting huffman compression tree combining bit-reversal permutation technique
In the area of data hiding and information security, the greater need is to ensure high embedding capacity of the stego media without hampering the...
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Retinal vessel segmentation using enhanced fuzzy min-max neural network
Automated segmentation of retinal vessels plays a pivotal role in early diagnosis of ophthalmic disorders. In this paper, a blood vessel segmentation...
