Fig. 6

The overall benefit of MAN+C and its visualization map. (a) The pie chart above shows the proportions of different lesions in cT1-2N0 patients who underwent axillary lymph node CEUS in the four datasets. The additional patients who were unable to benefit from earlier models relying solely on primary breast lesion data could now resort to our model, constituting 31% of the total patient population. The pie chart illustrates the proportion of patients diagnosed using MAN+C in the external validation dataset, with 88.9% of them accurately identified for lymph node tumor burden. (b) Grad-CAM visualization of four patient examples. The red region represents the larger attention given by the deep neural network. Note that since both manual cropping images and original images are square, not rectangular, the image is not scaled down equally.