most citedRADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 4 cited

RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement

Hong Hui Yeoh, Andrea Liew, Raphaël Phan +5

Breast cancer is a significant public health concern and early detection is critical for triaging high risk patients. Sequential screening mammograms can provide important spatiote…