Automated Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Imaging: Contributions to the AutoPET 2024 Challenge

This study proposes a workflow for automated segmentation of pathological lesions in whole-body PET-CT images, contributing to the AutoPET 2024 challenge. The approach involves image preprocessing, tracer classification, and lesion segmentation using deep learning models.