The Internet of Medical Things (IoMT) aims to exploit the Internet-of-Things (IoT) techniques
to provide better medical treatment scheme for patients with smart, automatic, timely, and …

The need for faster and more accessible alternatives to laboratory microscopy is driving
many innovations throughout the image and data acquisition chain in the biomedical field …

Automatic detection of maculopathy disease is a very important step to achieve high‐
accuracy results for the early discovery of the disease to help ophthalmologists to treat …

Abstract Continuous Glucose Monitoring Systems (CGMs) device is the most developed
technology, which has reshaped manual diabetes management with smart features having …

Sustainable healthcare systems are developed to priorities healthcare services involving
difficult decision-making processes. Besides, wearables, internet of things (IoT), and cloud …

In recent years, more and more generic technologies have appeared, allowing one to find
answers simultaneously along different dimensions,“fan” solutions for urgent and complex …

Purpose The purpose of this paper is to design an Internet-of-Things (IoT) architecture-
based Diabetic Retinopathy Detection Scheme (DRDS) proposed for identifying Type-I or …

Machine learning methods have been frequently used for the diagnosis of several diseases
recently because of its reliability and convenience. In this paper, a comprehensive overview …

In recent years, more and more generic technologies have appeared, allowing one to find
answers simultaneously along different dimensions,“fan” solutions for urgent and complex …

The most common malignant intraocular cancer is retinoblastoma that affects vision in
children and adults worldwide. Retinoblastoma affects one or both eyes. Retinoblastoma is …