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資工系 許輝煌 教授於
期刊論文
發佈
Prediction of Chronic Kidney Disease Stages by Renal Ultrasound Imaging
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[108-1]
：Prediction of Chronic Kidney Disease Stages by Renal Ultrasound Imaging期刊論文Prediction of Chronic Kidney Disease Stages by Renal Ultrasound ImagingChi-Jim Chen; Tun-Wen Pai; Hui-Huang Hsu; Chien-Hung Lee; Kuo-Su Chen; Yung-Chih ChenUltrasonography;support vector machine;feature extraction;chronic kidney disease;estimated glomerular filtration rate(eGFR)Enterprise Information Systems 14(2), p.178-195To 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 filtr
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