Artificial intelligence in ultrasound - ScienceDirect Skip to main contentSkip to article
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …

Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …

Ultrasound has become the main imaging modality for the diagnosis of thyroid nodules.
However, opinions issued and decisions taken by doctors are always subjective and …

In recent years, the incidence of thyroid nodules has continuously increased. Ultrasound
imaging, a preferred method for the clinical diagnosis of thyroid nodules, has the …

Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal
characteristics, varying looks, and hazy boundaries, making it challenging for a clinician to …

Introduction: Convolutional neural networks (CNNs) represent a state-of-the-art
methodological technique in AI and deep learning, and were specifically created for image …

Background: Despite investigation, 95% of thyroid nodules are ultimately benign. Radiomics
is a field that uses radiological features to inform individualized patient care. We aimed to …

Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in
comprehensive cancer diagnosis, staging, treatment, follow-up, and prognosis. Numerous …

Objective The purpose of this study was to investigate the preoperative prediction of
Cytokeratin (CK) 19 expression in patients with hepatocellular carcinoma (HCC) by machine …