TY  - JOUR
AU  - Liu, Xiaoyang
AU  - Maleki, Farhad
AU  - Muthukrishnan, Nikesh
AU  - Ovens, Katie
AU  - Huang, Shao Hui
AU  - Pérez-Lara, Almudena
AU  - Romero-Sanchez, Griselda
AU  - Bhatnagar, Sahir Rai
AU  - Chatterjee, Avishek
AU  - Pusztaszeri, Marc Philippe
AU  - Spatz, Alan
AU  - Batist, Gerald
AU  - Payabvash, Seyedmehdi
AU  - Haider, Stefan P
AU  - Mahajan, Amit
AU  - Reinhold, Caroline
AU  - Forghani, Behzad
AU  - O'Sullivan, Brian
AU  - Yu, Eugene
AU  - Forghani, Reza
PY  - 2021
DO  - 10.3390/cancers13153723
SN  - 2072-6694
UR  - http://hdl.handle.net/10668/18314
T2  - Cancers
AB  - Current radiomic studies of head and neck squamous cell carcinomas (HNSCC) are typically based on datasets combining tumors from different locations, assuming that the radiomic features are similar based on histopathologic characteristics. However,...
LA  - en
KW  - classification
KW  - head and neck squamous cell carcinomas
KW  - human papilloma virus
KW  - machine learning
KW  - metastasis
KW  - radiomics
TI  - Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models.
TY  - research article
VL  - 13
ER  -