博碩士論文 86343017 完整後設資料紀錄

DC 欄位 語言
DC.contributor機械工程學系zh_TW
DC.creator徐榮祥zh_TW
DC.creatorJung-Shian Hsuen_US
dc.date.accessioned2002-1-9T07:39:07Z
dc.date.available2002-1-9T07:39:07Z
dc.date.issued2002
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=86343017
dc.contributor.department機械工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本論文題出一個新的顱顏重建的方法解決重建的問題降低手術所須要的時間,以類神經網路預測病灶區的外形並於臨床應用獲得良好的結果 另外本論文亦提出方有效的超音波偵測乳房腫瘤外型並用於腫瘤良惡性的判斷zh_TW
dc.description.abstractA method for tumor boundary detection and a procedure for the diagnosis of breast tumor are also presented. The grey level projection distribution of the ROI is adopted to determine the seed point and threshold value of the tumor. Then the tumor boundary can be determined by searching from the seed point and by using the region growth method. After the tumor boundary of each image slice has been determined, the tumor size and spatial position can be calculated accurately. The shape and margin of the detected tumor boundary can also be used to assist the prediction of breast tumor attributes. The method has been applied to detect the breast tumor boundary from sonograms and brain tumor boundary from CT image slices. The results of clinic tests show that the computer generated tumor boundary matches well with the subjective judgement of an experienced breast tumor expert and a neurosurgeon. In this study, fifty-four breast sonograms are analysed. In comparison with physician judgement, twenty-three cases reach 100% similarity. Fifteen cases reach 90% similarity and eleven cases reach 80%. However, one case only reaches 70% and four cases are different from the physician judgement.en_US
DC.subject腫瘤zh_TW
DC.subject邊界偵測zh_TW
DC.subject顱顏重建zh_TW
DC.subject超音波影像zh_TW
DC.subjectTumoren_US
DC.subjectCraniofacialen_US
DC.subjectBoundary detectionen_US
DC.subjectrapid protyping machineen_US
DC.title腫瘤偵測與顱顏骨骼重建zh_TW
dc.language.isozh-TWzh-TW
DC.titleTumor Detection and Craniofacial Implant Reconstructionen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明