A Method for Extracting and Processing PET/CT and Radiation Dose Images of Lung Tumor Target Regions
The purpose of this research is to develop a method for extracting and processing PET/CT and planning CT (pCT) with dose distribution. This method aims to address the challenge of co-registering data from different imaging modalities into a unified coordinate...
Poster Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine
Dual Path Networks for Voxel-Level Prediction of Mid-Chemoradiotherapy Response In FDG PET for Locally Advanced Non-Small Cell Lung Cancer
Accurate prediction of tumor response during chemoradiotherapy is essential for treatment optimization but remains challenging. We developed a deep learning model based on a Dual Path Network (DPN), which is a hybrid architecture combining elements of ResNet...
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine