Recently, accurate diagnosis of thyroid nodules has played a critical role in precision
medicine and healthcare system management. Due to complicated changes in ultrasound …

ABSTRACT In deep learning, GANs (Generative Adversarial Networks) are one of the
prominent study areas due to their ability to generate synthetic data thereby solving the …

In recent years, the incidence of thyroid cancer has increased dramatically, resulting in an
increased demand for early thyroid nodule examination. Ultrasound (US) imaging is the …

Preoperative assessment of cervical lymph nodes metastasis (CLNM) for accurate
qualitative and locating diagnosis is important for choosing the best treatment option for …

Background Ultrasound three-dimensional visualization, a cutting-edge technology in
medical imaging, enhances diagnostic accuracy by providing a more comprehensive and …

Abstract Through the Internet of Medical Things (IoMT), early diagnosis of various critical
diseases has been revolutionized, particularly via sonography in thyroid nodule …

Early detection and accurate identification of thyroid nodules are the major challenges in
controlling and treating thyroid cancer that can be difficult even for expert physicians …

Thyroid nodule is an asymptomatic disorder which mostly occurs due to high production of
thyroid hormones from the thyroid gland. The diagnosis is usually made by the radiologist …

Weakly-supervised learning (WSL) methods have gained significant attention in medical
image segmentation, but they often face challenges in accurately delineating boundaries …

Dynamic contrast-enhanced ultrasound (CEUS) imaging can reflect the microvascular
distribution and blood flow perfusion, thereby holding clinical significance in distinguishing …