@article{9500fa3b958b4f3f9c00ef50fcfc2bd3,
title = "Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma",
abstract = "N/A",
keywords = "Adult, Algorithms, Datasets as Topic, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multidetector Computed Tomography, Nasopharyngeal Carcinoma, Nasopharyngeal Neoplasms, Phenotype, Prognosis, Radiotherapy, Intensity-Modulated, Adult, Algorithms, Datasets as Topic, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multidetector Computed Tomography, Nasopharyngeal Carcinoma, Nasopharyngeal Neoplasms, Phenotype, Prognosis, Radiotherapy, Intensity-Modulated",
author = "Zhong-Guo Liang and Tan, {Hong Qi} and Fan Zhang and Tan, {Lloyd Kuan Rui} and Li Lin and Jacopo Lenkowicz and Haitao Wang and Ong, {Enya Hui Wen} and Grace Kusumawidjaja and Phua, {Jun Hao} and Gan, {Soon Ann} and Sin, {Sze Yarn} and Ng, {Yan Yee} and Tan, {Terence Wee Kiat} and Soong, {Yoke Lim} and Fong, {Kam Weng} and Park, {Sung Yong} and Khee-Chee Soo and Wee, {Joseph Tien Seng} and Xiao-Dong Zhu and Vincenzo Valentini and Luca Boldrini and Ying Sun and Chua, {Melvin Lee Kiang}",
year = "2019",
doi = "10.1259/bjr.20190271",
language = "English",
volume = "92",
pages = "20190271--N/A",
journal = "British Journal of Radiology",
issn = "0007-1285",
publisher = "Oxford University Press",
}