The increasing incidence of thyroid cancer cases and the challenge of unreliable false
positive diagnostic rates in expert-reviewed ultrasound images emphasize the critical need …

Objective: This study explored the performance of deep learning Faster R-CNN network for
the automatic detection of nodules in thyroid ultrasound images and its efficacy in predicting …

Early detection of thyroid cancer nodules will lead to the most specific and effective
treatments, significantly reducing morbidity and mortality. The application of ultrasound …

Thyroid cancer tends to have a relatively high survival rate and is often treatable if detected
early. However, its prevalence and impact can vary by country due to factors like healthcare …

A thyroid nodule refers to the abnormal development of cells inside the thyroid gland, which
can be caused by factors such as high iodine consumption, thyroid degeneration, excessive …

Nowadays, thyroid cancer is considered as one of the most common endocrine cancer in the
human body. Ultrasonography is the primary imaging modality for the diagnosis of thyroid …

Thyroid nodule is a common disease on a global scale. It is characterized by an abnormal
growth of the thyroid tissue. Thyroid nodules are divided into two types: benign and …

Thyroid nodule detection in its earliest stages is a difficult endeavor. Thyroid nodule
diagnosis requires a lot of time and effort if done manually. The original ultrasound imaging …

Background Incidence rate of thyroid cancer is steadily increasing due to overdiagnosis and
overtreatment. Thyroid ultrasound is commonly used to diagnose thyroid cancer. The aim of …

Background: Thyroid nodules are a common clinical entity with high incidence. Ultrasound is
often employed to detect and evaluate thyroid nodules. The development of an efficient …