Yonsei Cancer Center

Foundation models are general-purpose, adaptable deep learning models trained on vast amounts of data. Despite unprecedented performance in language and vision tasks, their utility for predicting patient outcomes remains to be explored. This retrospective stu...

To mitigate the loss of spatial information inherent to DVH-based and coarse categorical descriptors used for breast cancer–related lymphedema prediction, we present a multi-modal cross-attention predictive model with self-attention refinement using patient-s...