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Trauma Detection on Pelvic Radiographs using Computer Vision Algorithms
A timely and accurate diagnosis of the proximal femur and pelvis injuries in trauma patients is essential to saving...
Defect-Detection-in-Metal-Parts-using-Optical-Systems
Detecting and classifying aesthetic defects in different sizes, shapes, and positions immediately after the casting process is an essential...
deep learning
Nowadays with the help of computer vision technology and image processing we can classify broken and normal bone X-ray...
Annotating Computer Vision Projects
Choosing the right images for training, validating, and testing computer vision algorithms will significantly affect your AI project's success....
Metaverse
Metaverse is one of the fastest-growing technologies today. A comprehensive review of computer vision concepts in Metaverse is presented...
casting defects
Automated X-ray systems are improving quality through multiple objective inspections, and reducing labor costs, and increasing productivity and consistency...
transfer learning
"Transfer learning" is a machine learning concept that involves storing machine knowledge and using it on different, related problems....
AI
The use of Artificial Intelligence is spreading to all fields. In this article, we will focus on the practical...
Auto ML
This article introduces the concept of AutoML. Automated Machine Learning (AutoML) is a process that uses machine learning models...
blood cells
Identification and quantification of complete blood cells (CBCs) is often an essential clinical test to monitor a patient’s health....