Ultrasonic image analysis for liver diagnosis

Y. N. Sun, M. H. Horng, X. Z. Lin, J. Y. Wang

研究成果: Review article同行評審

44 引文 斯高帕斯(Scopus)

摘要

Ultrasonic image analysis provides a reliable and noninvasive method for measuring liver histology. This method enables the classification of liver states as normal, hepatitis, or liver cirrhosis. This method involves the definition of suitable settings for the ultrasonic device. Inhomogeneous structures from the area of interest in the image are removed and useful texture parameters are searched from the co-occurrence matrix, statistical feature matrix, texture spectrum, and fractal dimension descriptors, using the forward sequential search method. The selected parameters are then fed into a probabilistic neural network for the classification of liver disease.

原文English
頁(從 - 到)93-101
頁數9
期刊IEEE Engineering in Medicine and Biology Magazine
15
發行號6
DOIs
出版狀態Published - 1996 十一月

All Science Journal Classification (ASJC) codes

  • 生物醫學工程

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