The Regents of the University of Colorado, doing business as the University of Colorado-Denver, received a $388,467 Project Grant award from the National Cancer Institute under the federal Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop an automated, generalizable lesion detection system called GELES for positron emission tomography-computed tomography (PET/CT) imaging of gastroenteropancreatic neuroendocrine tumors. The two-year project aims to create deep learning-based modules for domain generalization and domain adaptation to enable accurate and reliable quantification of 68Ga DOTATATE positive tumor burden in these difficult to detect tumors. This work is intended to support the development of novel therapies for neuroendocrine tumors by providing an automated means to assess treatment response.