Clustering Model Based on 3DUNET-Gmm Combining 3D-Unet Feature Extracting with Gmm Clustering to Divide Tumor Subregions on FDG PET for La-NSCLC
Accurate identification of high-risk and low-risk tumor subregions enables radiographers to customize radiation dose distributions for biologically adaptive therapies. This study proposes a 3DUNET-GMM model that integrates 3D-UNet feature extracting with Gaus...
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine