Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma

Cancer Letters

Volumn 403, Issue , 2017, Pages 21-27

  Zhang, Bin ^a,b   He, Xin ^c   Ouyang, Fusheng ^d   Gu, Dongsheng ^e   Dong, Yuhao ^f,g   Zhang, Lu ^f   Mo, Xiaokai ^f,g   Huang, Wenhui ^f,h   Tian, Jie ^e   Zhang, Shuixing ^a,b  

^a THE FIRST AFFILIATED HOSPITAL OF JINAN UNIVERSITY   (China)

^b JINAN UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d SHUNDE HOSPITAL OF SOUTHERN MEDICAL UNIVERSITY   (China)

^e INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^f GUANGDONG PROVINCIAL PEOPLE'S HOSPITAL   (China)

^g SHANTOU UNIVERSITY MEDICAL COLLEGE   (China)

^h SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Imaging; Machine learning; Nasopharyngeal carcinoma; Radiomics

Indexed keywords

BIOLOGICAL MARKER;

ADVANCED CANCER; ARTICLE; CANCER PROGNOSIS; CANCER STAGING; COHORT ANALYSIS; DISCRIMINANT ANALYSIS; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; NASOPHARYNX CARCINOMA; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RANDOM FOREST; RETROSPECTIVE STUDY; SUPPORT VECTOR MACHINE; AREA UNDER THE CURVE; CARCINOMA; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; DIAGNOSTIC IMAGING; HIGH THROUGHPUT SCREENING; NASOPHARYNGEAL NEOPLASMS; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL; TREATMENT FAILURE;

AREA UNDER CURVE; CARCINOMA; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; NASOPHARYNGEAL NEOPLASMS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; SUPPORT VECTOR MACHINE; TREATMENT FAILURE;

EID: 85021176346     PISSN: 03043835     EISSN: 18727980     Source Type: Journal    
DOI: 10.1016/j.canlet.2017.06.004     Document Type: Article

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