Fig. 1
From: Application and prospects of AI-based radiomics in ultrasound diagnosis
Static ultrasound analysis model for diagnosis and prediction. Static ultrasound reflects the spatial characteristics of lesions. It involves two-dimensional imaging. The BUS images provide information on the anatomical structure, shape, texture, and position of lesions. Moreover, the CDFI images reveal the direction of blood flow in the lesions. Additionally, UE images reflect the tissue hardness of the lesions. The existing intelligent analysis methods for static ultrasound include SVM, lasso regression, CNNs, and transformers. These are commonly used for the diagnosis and prognosis of diseases such as breast cancer, ovarian cancer, lymph nodes, and liver fibrosis