Research progress of multimodal ultrasound and its combination with deep learning in breast cancer diagnosis
Breast cancer is an important cause of death in women.Ultrasound is the main imaging examination method for breast cancer.The combined application of different ultrasound technologies such as two-dimensional ultrasound,color Doppler flow imaging,and ultrasound elastography to the diagnosis of breast cancer can significantly improve diagnostic efficiency and accuracy,and reduce unnecessary needle biopsy.The addition of artificial intelligence technology has the potential to help doctors make more efficient and accurate decisions,providing a new strategy for diagnosing breast cancer.This review compared the advantages and disadvantages of different ultrasound technologies in the diagnosis of breast cancer,discussed the positive role of deep learning combined with multi-modal ultrasound imaging in the diagnosis,prediction and efficacy evaluation of breast cancer,and proposed the challenges that breast ultrasound may face in the future,with a view to providing clinical doctors with reference.
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