Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …

Background The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of
breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies …

Skin cancer represents a general cancer type. Earlier treatment and diagnosis are important
tasks in skin cancer. The models, like deep learning, are generally utilized for diagnosing …

Background The accurate identification and evaluation of lymph nodes by CT images is of
great significance for disease diagnosis, treatment, and prognosis. Purpose To assess the …

Objectives Ultrasound‐based radiomics has demonstrated excellent diagnostic performance
in differentiating benign and malignant breast masses. Given a few clinical studies on their …

Objective. Generally, due to a lack of explainability, radiomics based on deep learning has
been perceived as a black-box solution for radiologists. Automatic generation of diagnostic …

Cancer, with its high fatality rate, instills fear in countless individuals worldwide. However,
effective diagnosis and treatment can often lead to a successful cure. Computer-assisted …

The role and importance of mechanical properties of cells and tissues in pathophysiological
processes have widely been acknowledged. However, current elastography techniques …

Objective To evaluate the effectiveness of a decision tree that integrates conventional
ultrasound (CUS) with two different strain imaging (SI) techniques for diagnosing breast …

Objective Although ultrasound is a common tool for breast cancer screening, its accuracy is
often operator-dependent. In this study, we proposed a new automated deep-learning …