Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model.
Weiwei TianQinqin YanXinyu HuangRui FengFei ShanDaoying GengZhiyong ZhangPublished in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)
The radiomics-deep learning fusion model showed promising ability to generalize in predicting OLNM from CT scans, potentially aiding personalized treatment for SPILAC patients across multiple centers.