Pretreatment Radiation Esophagitis Prediction Using Quantum Machine Learning In Esophageal Cancer Patients
To introduce a hybrid quantum-classical machine learning (QML) approach and validate its feasibility and accuracy for pretreatment radiation esophagitis (RE) prediction in patients with esophageal cancer (EC) undergoing radiotherapy and/or chemotherapy.
Poster Program · Therapy Physics