Recently, large pretrained vision foundation models based on masked image modeling
(MIM) have attracted unprecedented attention and achieved remarkable performance across …

Thyroid cancer (TC) is a common endocrine malignancy with an increasing incidence
worldwide. Early diagnosis is particularly important for TC patients, because it allows …

Purpose The thyroid imaging reporting and data system (TIRADS) was developed as a
standard global term to describe thyroid nodule risk features, aiming to address issues such …

Breast and thyroid cancers are prevalent among women worldwide. Ultrasound (US)
examination is widely used for the early detection of breast and thyroid cancers. However …

Abstract Background and Objective: Segmentation of nodule lesions in thyroid ultrasound
images plays a crucial role in facilitating early treatment. However, there are few ultrasound …

Breast cancer, as a malignant tumor disease, has maintained high incidence and mortality
rates over the years. Ultrasonography is one of the primary methods for diagnosing early …

This research work focuses on developing an advanced diagnostic method for thyroid
nodules using ultrasonography images. The core idea revolves around the observation that …

Purpose This study aims to design an auxiliary segmentation model for thyroid nodules to
increase diagnostic accuracy and efficiency, thereby reducing the workload of medical …

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

Deep learning has been widely used in ultrasound image analysis, and it also benefits
kidney ultrasound interpretation and diagnosis. However, the importance of ultrasound …