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 …

In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …

Network slicing is predetermined to hold up the diversity of emerging applications with
enhanced performance and flexibility requirements in the way of splitting the physical …

Purpose Application of artificial intelligence (AI) in medicine is quickly expanding. Despite
the amount of evidence and promising results, a thorough overview of the current state of AI …

Background and aim: Artificial intelligence was born to allow computers to learn and control
their environment, trying to imitate the human brain structure by simulating its biological …

Background Artificial intelligence (AI) for ultrasound scanning in regional anaesthesia is a
rapidly develo** interdisciplinary field. There is a risk that work could be undertaken in …

The objective of this study is to frame mammogram breast detection model using the
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …

This proposal tempts to develop automated DR detection by analyzing the retinal
abnormalities like hard exudates, haemorrhages, Microaneurysm, and soft exudates. The …

Diabetic retinopathy (DR) is an eye disease associated with diabetes that can lead to
blindness. Early diagnosis is critical to ensure that patients with diabetes are not affected by …

Purpose Percutaneous spinal needle insertion procedures often require proper identification
of the vertebral level to effectively and safely deliver analgesic agents. The current clinical …