Data mining of medical imaging approaches makes it difficult to determine their value in the
disease's insight, analysis, and diagnosis. Image classification presents a significant …

Background Automated segmentation of coronary arteries is a crucial step for computer-
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …

The detection of various cracks on pavement surfaces has drawn more and more attention
from pavement maintenance engineers. In the traditional pavement image segmentation …

Additional layers to the U-Net architecture leads to additional parameters and network
complexity. The Visual Geometry Group (VGG) architecture with 16 backbones can …

Infrared small target detection is a research hotspot in computer vision technology that plays
an important role in infrared early warning systems. Specifically, infrared images with strong …

Diabetic Retinopathy (DR) is a disorder of the eye caused by damage to blood vessels in the
retina. Damage to the retinal blood vessels can be analyzed by segmenting the blood …

Robots have become an essential part of modern industries in welding departments to
increase the accuracy and rate of production. The intelligent detection of welding line edges …

To guide surgical and medical treatment X-ray images have been used by physicians in
every modern healthcare organization and hospitals. Doctor's evaluation process and …

The improper circulation of blood flow inside the retinal vessel is the primary source of most
of the optical disorders including partial vision loss and blindness. Accurate blood vessel …

In the context of Cloud and Fog computing settings, recent developments in deep learning
techniques show great potential for changing several fields, including healthcare. In this …