Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Lymph nodes (LNs) are important hubs for metastatic cell arrest and growth, immune
modulation, and secondary dissemination to distant sites through a series of mechanisms …

Objective. The incidence of primary thyroid cancer has risen steadily over the past decades
because of overdiagnosis and overtreatment through the improvement in imaging …

Simple Summary Differentiated thyroid cancer (DTC) is the most common endocrine
malignancy with a high incidence rate in females. The COVID-19 epidemic posed an …

Background: Ultrasound (US)-guided fine needle aspiration (FNA) cytology is the gold
standard for the evaluation of thyroid nodules. However, up to 30% of FNA results are …

Objectives To develop an artificial intelligence (AI) system for predicting cervical lymph node
metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on …

Objective To develop and validate an ultrasonic radiomics model for predicting the
recurrence and differentiation of hepatocellular carcinoma (HCC). Convolutional neural …

Quantitative ultrasound (QUS) methods characterizing the backscattered echo signal have
been of use in assessing tissue microstructure. High-frequency (30 MHz) QUS methods …

Background Radiomics is a rapidly growing field used to leverage medical radiological
images by extracting quantitative features. These are supposed to characterize a patient's …