A review of recent advances in fractional-order sensing and filtering techniques
The present manuscript aims at raising awareness of the endless possibilities of fractional
calculus applied not only to system identification and control engineering, but also into …
calculus applied not only to system identification and control engineering, but also into …
A comprehensive survey on segmentation techniques for retinal vessel segmentation
In recent years, enormous research has been carried out on the segmentation of blood
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …
Applications of fractional calculus in computer vision: a survey
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
Retinal vessel segmentation with skeletal prior and contrastive loss
The morphology of retinal vessels is closely associated with many kinds of ophthalmic
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
O Ramos-Soto, E Rodríguez-Esparza… - Computer Methods and …, 2021 - Elsevier
Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
A novel framework for retinal vessel segmentation using optimal improved frangi filter and adaptive weighted spatial FCM
Medical attention has long been focused on diagnosing diseases through retinal
vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness …
vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness …
Grading diabetic retinopathy using multiresolution based CNN
Diabetic Retinopathy (DR) refers to a medical condition that affects the eye; it occurs due to
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
Retinal blood vessel segmentation using pixel-based feature vector
A lot of important disease information can be accessed by performing retinal blood vessel
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
A deep learning approach for the detection of neovascularization in fundus images using transfer learning
Patients with diabetes are at risk of developing a retinal disorder called Proliferative Diabetic
Retinopathy (PDR). One of the main characteristics of PDR is the development of …
Retinopathy (PDR). One of the main characteristics of PDR is the development of …
Features fusion based novel approach for efficient blood vessel segmentation from fundus images.
LK Singh, M Khanna, D Mansukhani… - Multimedia Tools & …, 2024 - search.ebscohost.com
Insufficient blood flow within the retinal vessels is believed to be the root cause of several
optical problems, including partial vision loss and blindness. The appearance and growth of …
optical problems, including partial vision loss and blindness. The appearance and growth of …