A Cgan-Based Spatially-Resolved Prediction of Lung Tumor Response to Chemoradiation
Lung cancer is a leading global malignancy with high mortality. Radiotherapy is a critical treatment; however, current planning often suffers from subjective dose settings and side effects. This study aims to use a Conditional Generative Adversarial Network (...
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