An intelligence system approach using artificial neural networks to evaluate the quality of treatment planning for nasopharyngeal carcinoma
Tsair-Fwu Lee1*#, Pei-Ju Chao1,2#, Chang-Yu Wang3,4, Wei-Luen Huang1, Chiu-Ching Tuan5, Mong-Fong Horng1, Jia-Ming Wu6, Shyh-An Yeh6, Fu-Min Fang2 and Stephen Wan Leung4
1Medical Physics and Informatics Laboratory, Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.
2Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
3Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.
4Department of Radiation Oncology, Yuan’s General Hospital, Kaohsiung City, Taiwan.
5Department of Electronics Engineering, National Taipei University of Technology, Taipei Taiwan.
6Department of Radiation Oncology, E-Da Hospital /I-Shou University,Kaohsiung, Taiwan.
Email: [email protected] ; [email protected]
