AI could improve diagnostic accuracy of breast dynamic contrast-enhanced magnetic resonance imaging

A deep learning (DL) system could improve the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast tissue for detecting breast cancer, according to a study published in the Sept. 28 issue of Science Translational Medicine.
A deep learning (DL) system could improve the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast tissue for detecting breast cancer, according to a study published in the Sept. 28 issue of Science Translational Medicine.