Morgan McLaughlin

P1.123. Deep Learning and Machine Learning Radiomics-Based Models Predicting Esophagogastric Cancer Recurrence: A Systematic Review

Abstract Topic Esophageal Cancer: Oncology/Radiation Therapy Background Esophageal and gastric cancers are associated with recurrence rates approaching 50% despite curative-intent treatment. Non-invasive imaging modalities including computed tomography (CT), positron emission tom...