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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tsair-Fwu Lee Chang-Yu Lee Pei-Ju Chao Li-Fu Wu Chin-Shiuh Shieh Ping-Shou Cheng Kuan-Cho Liao Chun-Hsiung Fang |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Taiwan, ROC (Chang-Yu Lee; Chun-Hsiung Fang) || Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taiwan, ROC (Kuan-Cho Liao) || Medical Physics & Informatics Lab., Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Taiwan, ROC (Tsair-Fwu Lee; Pei-Ju Chao; Li-Fu Wu; Chin-Shiuh Shieh; Ping-Shou Cheng) |
| Abstract | In this study, 14 treatment planning dose parameters for head and neck cancer are adopted as the characteristic functions to establish the statistical analysis of the fuzzy system module for radiation treatment plan classification. By constructing fuzzy rules and fuzzy set membership functions, we aim to improve the classification efficiency and accuracy by the fuzzy systems, and to improve the quality of the treatment plan. Three different fuzzy logic control systems were used for analysis of 100 Pinnacle treatment planning system datasets. The results show that the accuracy may be up to 100%. The fuzzy logic control system we propose may be a useful tool for accurate planning and decision-making. |
| Starting Page | 510 |
| Ending Page | 514 |
| File Size | 280664 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300254 |
| e-ISBN | 9781467300247 |
| DOI | 10.1109/FSKD.2012.6234043 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Fuzzy sets dose parameter Head head and neck cancer fuzzy system Neck Planning Fuzzy systems Cancer treatment plan |
| Content Type | Text |
| Resource Type | Article |
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