Keywords: Multimodal, BreastThis study aimed to assess added value of various combinations of different MRI protocols and artificial intelligence techniques in differentiation capability between malignant and benign breast lesions. 61 benign and 69 malignant lesions were recruited. Radiomics features were extracted from three proposed scenarios, including original images of ADC and T2W (scenario-I), original images of ADC, T2W, and DCE (scenario-II), and the joint of original and the pre-filtered images (using wavelet) from ADC, T2W and DCE (scenario-III). Ten most relevant features were utilized for training 11 machine learning algorithms. Finally, decision tree achieved the highest results of accuracy using scenario-III.
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