查詢結果分析
來源資料
相關文獻
- 利用三維形態分析方法診斷肺臟腫瘤
- Findings of High-Resolution Chest Computed Tomography in a Young Child with Type C Niemann-Pick Disease
- 手寫數字辨識模式之建立--結合遺傳演算法與類神經網路
- Internet Based Medical Image Processing System Using Java Technologies
- Form Segmentation and Component Classification for Clinic Document Image Analysis
- 倒傳遞類神經網路在波浪時序列預報之應用
- Clinical and Computed Tomographic Features of Tracheal Bronchus in Children
- 達成中央空調舒適度與省能控制之研究
- 應用於洪水演算類神經倒傳遞網路法最適參數推估
- 空載多光譜影像之紋理分析
頁籤選單縮合
題 名 | 利用三維形態分析方法診斷肺臟腫瘤=The 3D Morphological Analysis Method for Pulmonary Nodule Diagnosis |
---|---|
作 者 | 葉嘉芬; 鄭煥勳; 蘇振隆; 張允中; | 書刊名 | 中原學報 |
卷 期 | 32:3 2004.09[民93.09] |
頁 次 | 頁363-372 |
分類號 | 414.93 |
關鍵詞 | 肺臟腫瘤; 電腦斷層影像; 曲率計算; 紋理分析; 倒傳遞類神經網路; CT image; Curvature calculated; Texture analysis; Back propagation neural network; Pulmonary nodule; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究透過影像處理技術來進行肺部CT影像分析及利用三維形態信斷肺臟腫瘤,所使用之技術包含影像增強、半自動邊緣選取、高斯于滑、l出率計算、似圓性和紋理計算亨函數來分析及診斷之形態。此外,以Efl:建後之~l體影像之高斯山i率及平均曲來、似 球性與平均密度草參數,提供形態之資訊。最後建立類神抖網路之模式,對肺臟腫瘤進行鑑別。初步結果顯示,切片厚度為3mm之肺腫瘤測試病例中,鑑別正確率為o肘,敏感度為l和系統之信賴度Kappa值為0.378;切片厚度為5mm之月IP腫瘤測試咐例中,鑑別正確率為0.833.敏感度為l和系統之信賴度KappaÚ度為0.515。研究發現,良性腫瘤之鈣化結節、細菌性感染與纖維化之類型,與惡性腫瘤之特徵類似,因此導致系統之正確率降低O |
英文摘要 | A pulmonary nodule diagnosis system which based on 3D morphological analysis method for CT image of lung was presented in this paper. Image process technologies, which include image enhancement, semi-automated edge selection, Gaussian smoothing, curvatures calculation, circularity, texture count were used to analysis the shapes of lung nodules. Moreover, mean density, circularity, Gaussian curvature and mean curvature of reconstructed 3-dimension images of chest and nodules provided the observation in morphology. Finally, a Back Propagation Neural Network model was implement for the diagnosis of lung nodules. Prelirninary results showed that the accuracy was 0.67, sensitivity was 1 and Kappa is O. 378 for 3mm section thickness lung nodules testing cases. For 5mm section thickness lung nodules testing cases, accuracy was 0.833, specificity was 1 and Kappa was 0.515. From results, we also found that the characteristics of the calcification nodes of benign nodules, bacterial affection and fibered types were similar to malignant nodules, hence this lower accuracy were obtained in this system. |
本系統中英文摘要資訊取自各篇刊載內容。