Prediction of radiation induced liver disease using artificial neural networks

Japanese Journal of Clinical Oncology

Volumn 36, Issue 12, 2006, Pages 783-788

  Zhu, Ji ^a   Zhu, Xiao Dong ^b   Liang, Shi Xiong ^b   Xu, Zi Yong ^a   Zhao, Jian Dong ^a,c   Huang, Qi Fang ^b   Wang, An Yu ^b   Chen, Long ^b   Fu, Xiao Long ^a,c   Jiang, Guo Liang ^a,c  

^a FUDAN UNIVERSITY SHANGHAI CANCER CENTER   (China)

^b GUANGXI MEDICAL UNIVERSITY   (China)

^c FUDAN UNIVERSITY   (China)

Author keywords

Artificial neural networks; Primary liver carcinoma; Radiation induced liver disease; Three dimensional conformal radiation therapy

Indexed keywords

10 HYDROXYCAMPTOTHECIN; CISPLATIN; EPIRUBICIN; IODINATED POPPYSEED OIL; MITOMYCIN C;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED RADIOTHERAPY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DOSIMETRY; FEMALE; HUMAN; LIVER CARCINOMA; LIVER CIRRHOSIS; LIVER DISEASE; MAJOR CLINICAL STUDY; MALE; PATIENT SAFETY; PREDICTION; RADIATION INJURY; RADIOLOGICAL PARAMETERS; ROC CURVE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY; ALGORITHM; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; MIDDLE AGED; PROGNOSIS; RANDOMIZED CONTROLLED TRIAL;

ALGORITHMS; FEMALE; HUMANS; LIVER DISEASES; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; RADIATION INJURIES; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, CONFORMAL; SENSITIVITY AND SPECIFICITY;

EID: 33947512630     PISSN: 03682811     EISSN: 14653621     Source Type: Journal    
DOI: 10.1093/jjco/hyl117     Document Type: Article

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