Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
In this paper, a deep convolutional neural network (CNN) is proposed for accurate
segmentation of retinal blood vessels. This method plays a significant role in observing …
segmentation of retinal blood vessels. This method plays a significant role in observing …
Impact of image enhancement technique on CNN model for retinal blood vessels segmentation
In this paper, we have developed a new method of accurate detection of retinal blood
vessels based on a deep convolutional neural network (CNN) model. This method plays an …
vessels based on a deep convolutional neural network (CNN) model. This method plays an …
Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images
The segmentation of blood vessels through color fundus images is a difficult and time-
consuming task that requires experienced clinicians. Recently, researchers have shown that …
consuming task that requires experienced clinicians. Recently, researchers have shown that …
An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser
Vessel segmentation has come a long way in terms of matching the experts at detection
accuracy, yet there is potential for further improvement. In this regard, the accurate detection …
accuracy, yet there is potential for further improvement. In this regard, the accurate detection …
A hybrid unsupervised approach for retinal vessel segmentation
Retinal vessel segmentation (RVS) is a significant source of useful information for
monitoring, identification, initial medication, and surgical development of ophthalmic …
monitoring, identification, initial medication, and surgical development of ophthalmic …
Impact of retinal vessel image coherence on retinal blood vessel segmentation
Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye
disorders, and a consistent computerized method is required for automatic eye disorder …
disorders, and a consistent computerized method is required for automatic eye disorder …
Impact of novel image preprocessing techniques on retinal vessel segmentation
Segmentation of retinal vessels plays a crucial role in detecting many eye diseases, and its
reliable computerized implementation is becoming essential for automated retinal disease …
reliable computerized implementation is becoming essential for automated retinal disease …
A high accuracy segmentation method for retinal blood vessel detection based on hybrid filters and an adaptive thresholding
The field of computer-assisted retinal vascular segmentation is crucial since it aids in the
diagnosis of disorders like diabetic retinopathy. The segmentation of retinal images deals …
diagnosis of disorders like diabetic retinopathy. The segmentation of retinal images deals …
A scale normalized generalized LoG detector approach for retinal vessel segmentation
MAU Khan, F Abdullah, A Akram, RA Naqvi… - IEEE …, 2021 - ieeexplore.ieee.org
Retinal vessel segmentation is important for analyzing many retinal diseases, where manual
segmentation of these vessels is an extensive job. Automatic segmentation of these vessels …
segmentation of these vessels is an extensive job. Automatic segmentation of these vessels …
A novel chaotic weighted EHO-based methodology for retinal vessel segmentation
Retinal image segmentation process deals with problems like spurious vascularisation and
thin vessel detection. In this paper, a three-step methodology has been proposed for retinal …
thin vessel detection. In this paper, a three-step methodology has been proposed for retinal …