Deep learning-based model for predicting progression in patients with head and neck squamous cell carcinoma
Author:
Affiliation:
1. Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China
2. Department of Plastic Surgery, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong 250000, China
Publisher
IOS Press
Subject
Cancer Research,Genetics,Oncology,General Medicine
Reference38 articles.
1. S. Marur and A.A. Forastiere, Head and neck squamous cell carcinoma: Update on epidemiology, diagnosis, and treatment, Mayo Clinic Proceedings 91 (2016), 386.
2. Global cancer statistics, 2012;Torre;Ca A Cancer Journal For Clinicians,2015
3. Integrating genomics in head and neck cancer treatment: Promises and pitfalls;Thariat;Critical Reviews in Oncology/hematology,2015
4. Nivolumab for recurrent squamous-cell carcinoma of the head and neck;Ferris;New England Journal of Medicine,2016
5. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): An update on 93 randomised trials and 17,346 patients;Pignon;Radiother Oncol,2009
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