Prediction of toxicity outcomes following radiotherapy using deep learning-based models: A systematic review

CONCLUSION: Deep learning techniques are able to produce a consistent performance for toxicity prediction. Future research using large and diverse datasets and standardization of the study methodologies are required to improve the consistency of the research output.PMID:37482464 | DOI:10.1016/j.canrad.2023.05.001
Source: Cancer Radiotherapie - Category: Cancer & Oncology Authors: Source Type: research