Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma

Vincenzo Valentini, Jacopo Lenkowicz, Luca Boldrini, Zhong-Guo Liang, Hong Qi Tan, Fan Zhang, Lloyd Kuan Rui Tan, Li Lin, Haitao Wang, Enya Hui Wen Ong, Grace Kusumawidjaja, Jun Hao Phua, Soon Ann Gan, Sze Yarn Sin, Yan Yee Ng, Terence Wee Kiat Tan, Yoke Lim Soong, Kam Weng Fong, Sung Yong Park, Khee-Chee SooJoseph Tien Seng Wee, Xiao-Dong Zhu, Ying Sun, Melvin Lee Kiang Chua

Risultato della ricerca: Contributo in rivistaArticolo in rivista

8 Citazioni (Scopus)

Abstract

N/A
Lingua originaleEnglish
pagine (da-a)20190271-N/A
RivistaBritish Journal of Radiology
Volume92
DOI
Stato di pubblicazionePubblicato - 2019

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

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