Computer‐aided diagnosis (CAD) has been a major field of research for the past few
decades. CAD uses machine learning methods to analyze imaging and/or nonimaging …

Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

Deep learning is the state-of-the-art machine learning approach. The success of deep
learning in many pattern recognition applications has brought excitement and high …

Application of a deep learning algorithm for detection and visualization of hip fractures on plain
pelvic radiographs | European Radiology Skip to main content Advertisement Springer Nature …

Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep
learning (DL) techniques, have enabled broad application of these methods in health care …

The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐
19 patients has demonstrated potential for improving clinical decision making and assessing …

Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …

At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in
September 2016, a conference session on medical image data and datasets for machine …

Cross-sectional X-ray imaging has become the standard for staging most solid organ
malignancies. However, for some malignancies such as urinary bladder cancer, the ability to …

This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …