Thyroid nodule is one of the common life‐threatening diseases, and it had an increasing
trend over the last years. Ultrasound imaging is a commonly used diagnostic method for …

Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Quick and accurate diagnosis for malignant thyroid nodules via ultrasonography is a
valuable but challenging task even for experienced radiologists because of the complexity …

It is meaningful for radiologists to segment thyroid nodules in ultrasound images quickly and
accurately using an effective segmentation algorithm. With the rise of deep learning in …

In the field of medical research, prediction, as well as diagnosis of thyroid disease, is a major
cause that is a challenging onset axiom. In metabolism regulation, thyroid hormone …

Deep learning-based object detection methods using ultrasound images to assist clinicians
in rapid and accurate diagnosis of thyroid nodules has been an attractive area of research …

Introduction Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI)
scans can address the limitations of the current OA assessment approaches. Detecting and …

Ultrasound features related to thyroid lesions structure, shape, volume, and margins are
considered to determine cancer risk. Automatic segmentation of the thyroid lesion would …

Differentiated thyroid cancer (DTC) from follicular epithelial cells is the most common form of
thyroid cancer. Beyond the common papillary thyroid carcinoma (PTC), there are a number …

Introduction We aimed to assess the power of radiomic features based on computed
tomography to predict risk of chronic kidney disease in patients undergoing radiation …