Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility Study
Author:
Funder
Taejoon Pharmaceutical
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10278-024-00966-6.pdf
Reference19 articles.
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3. Cheson BD (2008) Staging and evaluation of the patient with lymphoma. Hematol Oncol Clin North Am 22:825–837, vii-viii
4. Cheson BD, Fisher RI, Barrington SF et al (2014) Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol 32:3059
5. Wulff A, Fabel M, Freitag-Wolf S et al (2013) Volumetric response classification in metastatic solid tumors on MSCT: initial results in a whole-body setting. Eur J Radiocol 82:e567-e573
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