In this study, we propose LDMRes-Net, a lightweight dual-multiscale residual block-based
convolutional neural network tailored for medical image segmentation on IoT and edge …

Computer-aided diagnosis/detection (CADx) systems have been used to help doctors in
improving the quality of diagnosis and treatment processes in many serious diseases such …

Ocular diseases are eventually increasing these days that cause partial or complete vision
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …

Microaneurysms, tiny, circular red dots that occur in retinal fundus images, are one of the
earliest symptoms of diabetic retinopathy. Because microaneurysms are small and delicate …

Pathological voice characterization has received increasing attention over the last 20 years.
Hundreds of studies have been published showing inventive approaches with very …

Background To develop a fully automated CNN detection system based on magnetic
resonance imaging (MRI) for ACL injury, and to explore the feasibility of CNN for ACL injury …

Accurate segmentation of retinal blood vessels is an important prerequisite for diagnosing
many fundus diseases. Many methods based on artificially designed convolutional neural …

A number of groundbreaking computer-aided techniques have recently been established for
the segmentation of retinal vessels, with clinical applications predominating. Early detection …

Early detection and accurate identification of thyroid nodules are the major challenges in
controlling and treating thyroid cancer that can be difficult even for expert physicians …

Objective. Automatic segmentation of fundus vessels has the potential to enhance the
judgment ability of intelligent disease diagnosis systems. Even though various methods …