Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …

Purpose: Retinal image registration is a useful tool for medical professionals. However,
performance evaluation of registration methods has not been consistently assessed in the …

Medical image registration is vital for disease diagnosis and treatment with its ability to
merge diverse information of images, which may be captured under different times, angles …

Modeling low level features to high level semantics in medical imaging is an important
aspect in filtering anatomy objects. Bag of Visual Words (BOVW) representations have been …

Image registration is an important problem in image processing, especially in medical
imaging. It is a hard optimization problem with objective function that is not appropriate for …

Preprocessing and enhancement is a prerequisite for a wide range of retinal image analysis
methods. The goals of such tasks are to improve images and facilitate their subsequent …

Objective: In-vivo assessment of small vessels can promote accurate diagnosis and
monitoring of diseases related to vasculopathy, such as hypertension and diabetes. The eye …

Purpose: This study aimed to develop a method for automated artery-vein classification in
optical coherence tomography angiography (OCTA), and to verify that differential artery-vein …

We propose a method for registering a pair of retinal images. The proposed approach
employs point correspondences and assumes that the human eye has a spherical shape …

A fundamental problem of retinal fundus image registration is the determination of
corresponding points. The scale-invariant feature transform (SIFT) is a well-known algorithm …