臺灣博碩士論文加值系統

摘要 i
ABSTRACT ii
誌謝 iv
目錄 v
表目錄 vii
圖目錄 viii
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 1
1.3 研究步驟 2
1.4 論文架構 4
第二章 文獻回顧 6
2.1 放射療法與腫瘤位移 6
2.1.1 放射療法 6
2.1.2 腫瘤位移 6
2.2 腫瘤治療範圍與誤差 8
2.2.1 腫瘤治療範圍 8
2.2.2 腫瘤治療誤差 9
2.3 深度學習與物件追蹤 10
2.3.1 人工類神經網路與深度學習 10
2.3.2 卷積神經網路 15
2.3.3 物件偵測與實例分割模型 19
2.4 深度學習與放射治療 23
第三章 方法與材料 25
3.1 實驗架構 25
3.2 實驗材料 25
3.2.1 呼吸運動模擬系統 26
3.2.2 呼吸運動補償系統 26
3.2.3 超音波設備 27
3.2.4 橫膈膜仿體 27
3.2.5 LabView 控制程式 29
3.2.6 UITA 29
3.2.7 Tracker 31
3.3 超音波影像追蹤技術 32
3.3.1 資料集建立與標註 32
3.3.2 M-UITA之訓練 33
3.4 M-UITA應用於RMCS之可行性實驗 35
3.4.1 實驗一：M-UITA之追蹤相似度實驗 35
3.4.2 實驗二：M-UITA之補償實驗 36
第四章 結果與討論 38
4.1 結果 38
4.1.1 實驗一之結果 38
4.1.2 實驗二之結果 40
4.2 討論 43
第五章 結論與未來研究方向 45
5.1 結論 45
5.2 未來展望 45
參考文獻 47

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