http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Fuzzy Feature Representation for White Blood Cell Differential Counting in Acute Leukemia Diagnosis
Chastine Fatichah,Martin L. Tangel,Janet P. Betancourt,M. Rahmat Widyanto,Fangyan Dong,Kaoru Hirota 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.3
A fuzzy feature representation for white blood cell differential counting is proposed to diagnose types of acute leukemia. The accuracy of diagnosis is higher than that by numerical features by dealing with uncertainty of white blood cell features and inflexibility of diagnosing. Experiments on acute leukemia diagnosis use 120 acute leukemia images and fuzzy decision tree method with the accuracy rate of diagnosis is 84% using fuzzy features and 76.6% using numerical features. Given the importance of accurate diagnosis of acute leukemia in patients, this proposal is essential and planned to be introduced in an Indonesian hospital.