Approximation algorithm of misclassification minimization 錯(cuò)誤分離最小化的一個(gè)新的近似算法
Both of the two methods can solve misclassification in the normal segment method 這兩種算法的提出,很好解決了一般分割方法處理肝臟mdct圖像產(chǎn)生的誤分問(wèn)題。
2 . develop an improving small region growing method to solve the misclassification evocated by blur boundary between liver and adjacent organs . 3 提出小區(qū)域增長(zhǎng)算法,以解決由于肝臟與相鄰器官的邊界模糊而引起的所謂誤分現(xiàn)象。
The diagnostic power of the classifiers was compared regarding their misclassification error rates and area under the receiver - operating characteristic curve 考慮到其誤分類錯(cuò)誤率及受試者工作特征曲線下面積,該分類機(jī)的診斷效力有一定可比性。
Study limitations included the lack of recording for tumor grade and estrogen - receptor status , and the possibility of misclassification of some hereditary cases 本研究的局限性包括缺乏腫瘤分級(jí)和雌激素受體狀態(tài)的記錄,以及可能對(duì)某些遺傳性病例分類錯(cuò)誤。