Fig. 3
From: Application and prospects of AI-based radiomics in ultrasound diagnosis
Research ideas for dual-/multi-modal ultrasound fusion analysis. The fusion analysis of different ultrasound modalities is of significant clinical importance. Each modality of ultrasound has its own advantages and limitations, and an efficient modality fusion method can complement each modality. This improves the accuracy of ultrasound AI diagnosis. Currently, there are various modality combinations such as BUS + CDFI, BUS + UE, BUS + CDFI + UE + CEUS, and US + CT/MRI. Common fusion methods include logistic regression, machine, and deep learning. These are frequently used to diagnose diseases such as breast cancer, liver cancer, thyroid nodules, and COVID-19