Disclosed is a
system for detecting whether the
breast cancer is benign or malignant based on multiple modalities, which comprises: an ultrasonomics model configured to extract
breast tumor position information and
breast tumor morphological features on the basis of an acquired
grayscale breast ultrasound image, perform global interactive fusion on the
breast tumor position information and breast tumor morphological feature information, and convert a
Transformer encoder-based feature output into an output vector of the corresponding classification dimensions by means of a fully connected layer; a metabonomics model configured to obtain a metabolic
fingerprint spectrogram and analyze the metabolic
fingerprint spectrogram on the basis of a metabolic
database and a predetermined significantly differential
metabolite to obtain abnormal metabolic pathways,
signal transduction pathways, and related
biochemical reactions associated with
breast cancer malignancy; and a detection module configured to perform joint modeling, based on the breast tumor position information, the breast tumor morphological features, and a
peak value of the significantly differential
metabolite of the
breast cancer malignancy, to output a prediction result about whether the breast
cancer is benign or malignant.