Prediction of Chronic Kidney Disease Stages by Renal Ultrasound Imaging
學年 108
學期 1
出版（發表）日期 2020-01-01
作品名稱 Prediction of Chronic Kidney Disease Stages by Renal Ultrasound Imaging
作品名稱（其他語言）
著者 Chi-Jim Chen; Tun-Wen Pai; Hui-Huang Hsu; Chien-Hung Lee; Kuo-Su Chen; Yung-Chih Chen
單位
出版者
著錄名稱、卷期、頁數 Enterprise Information Systems 14(2), p.178-195
摘要 To detect chronic kidney disease (CKD) at earlier stages, diagnosis through non-invasive ultrasonographic imaging techniques provides an auxiliary clinical approach for at-risk CKD patients. We have established a detection method based on imaging processing techniques and machine learning approaches for the diagnosis of different CKD stages. Decisive area-proportional and textural features and support-vector-machine techniques were applied for efficient and effective analyses. Several clustered collections of CKD patients were evaluated and compared according to the estimated glomerular filtration rates. Based on the findings of evolving changes from ultrasound images, the proposed approach could be used as complementary evidences to help differentiate between different clinical diagnoses.
關鍵字 Ultrasonography;support vector machine;feature extraction;chronic kidney disease;estimated glomerular filtration rate(eGFR)
語言 en_US
ISSN 1751-7575
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度 是
國別 GBR
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118220 )