Development and Cross-Institutional Validation of a Comprehensive Machine Learning Model Predicting Response to Neoadjuvant Therapy for Rectal Cancer

Συγγραφείς: Li S, Li Z, Jiang P, Han H, Zhang Y, Lu Y

Πηγή: Cancer Management and Research, Vol 17, Iss Issue 1, Pp 1563-1575 (2025)

Θεματικοί όροι: Radiomics, Dosiomics, nCRT, Rectal cancer, Predict therapy response, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Περιγραφή αρχείου: electronic resource

Relation: https://www.dovepress.com/development-and-cross-institutional-validation-of-a-comprehensive-mach-peer-reviewed-fulltext-article-CMAR; https://doaj.org/toc/1179-1322

Σύνδεσμος πρόσβασης: https://doaj.org/article/ab6821ae2e2d4b429d757e520ae56fba