Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …

Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

Deep learning methods, and in particular convolutional neural networks (CNNs), have led to
an enormous breakthrough in a wide range of computer vision tasks, primarily by using …

This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

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Idiopathic generalized epilepsy (IGE) has been linked with disrupted intra‐network
connectivity of multiple resting‐state networks (RSNs); however, whether impairment is …

Ultrasound (US) imaging is the most commonly performed cross-sectional diagnostic
imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and …

The ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …