Machine Learning for Automated Interpretation of Fluorodeoxyglucose-Positron Emission Tomography Scans in Lymphoma
Author:
Affiliation:
1. Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY
Publisher
American Society of Clinical Oncology (ASCO)
Link
https://ascopubs.org/doi/pdfdirect/10.1200/JCO.24.00675
Reference33 articles.
1. Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification
2. Long-Term Follow-Up of the Response-Adjusted Therapy for Advanced Hodgkin Lymphoma Trial
3. Positron Emission Tomography Score Has Greater Prognostic Significance Than Pretreatment Risk Stratification in Early-Stage Hodgkin Lymphoma in the UK RAPID Study
4. Metabolic Tumor Volume in Lymphoma: Hype or Hope?
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