Objective: Microvascular perfusion can be observed in real time with contrast-enhanced
ultrasound (CEUS), which is a novel ultrasound technology for visualizing the dynamic …

Contrast-enhanced ultrasound (CEUS) has emerged as a popular imaging modality in
thyroid nodule diagnosis due to its ability to visualize vascular distribution in real time …

Dynamic contrast-enhanced ultrasound (CEUS) imaging has been widely applied in lesion
detection and characterization, due to its offered real-time observation of microvascular …

Purpose Delineation of thyroid nodule boundaries from ultrasound images plays an
important role in calculation of clinical indices and diagnosis of thyroid diseases. However, it …

Ultrasound image plays an important role in the diagnosis of thyroid disease. Accurate
segmentation and classification of thyroid nodules are challenging due to their …

Thyroid cancer has a high prevalence all over the world. Accurate thyroid nodule diagnosis
can lead to effective treatment and decrease the mortality rate. Ultrasound imaging is a safe …

Background and objectives Early detection and diagnosis of thyroid nodule types are
important because they can be treated more effectively in their early stages. The types of …

Ultrasonography is regarded as an effective technique for the detection, diagnosis and
monitoring of thyroid nodules. Segmentation of thyroid nodules on ultrasound images is …

P urpose It plays a significant role to accurately and automatically segment lesions from
ultrasound (US) images in clinical application. Nevertheless, it is extremely challenging …

Objective The aim of this study is to develop AI-assisted software incorporating a deep
learning (DL) model based on static ultrasound images. The software aims to aid physicians …