Texture feature coding method for classification of liver sonography

Ming Huwi Horng, Yung Nien Sun, Xi Zhang Lin

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

Liver sonography is a widely used noninvasive diagnostic tool. Analyzing histology changes in sonograms provides a means of diagnosing and monitoring chronic liver diseases. Nonetheless, conventional ultrasonography is still qualitative. To improve reliability of liver diagnosis, quantitative image analysis is highly desirable for the assessment of various liver states. In this paper, a novel approach, called Texture Feature Coding Method (TFCM) is presented for texture classification of liver sonography, more specifically, classification of normal liver, hepatitis and cirrhosis. TFCM is a texture analysis technique based on gray-level gradient variations in a 3x3 texture unit. It transforms an image into a texture feature image in which each pixel is represented by a texture feature number (TFN) coded by TFCM. The obtained texture feature numbers are then used to generate a TFN histogram and a TFN co-occurrence matrix which will produce texture feature descriptors. By coupling with a supervised maximum likelihood (ML) classifier, these descriptors form a classification system to discriminate the three above-mentioned liver classes. The TFCM-supervised ML system is trained by 30 liver samples proven by biopsy and tested on a set of 90 samples. The results show that the designed TFN-supervised ML system performs better than do existing techniques, and the correct classification rate can reach as high as 83.3%.

原文English
主出版物標題Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings
編輯Bernard Buxton, Roberto Cipolla
發行者Springer Verlag
頁面209-218
頁數10
ISBN(列印)3540611223, 9783540611226
出版狀態Published - 1996 一月 1
事件4th European Conference on Computer Vision, ECCV 1996 - Cambridge, United Kingdom
持續時間: 1996 四月 151996 四月 18

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1064
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other4th European Conference on Computer Vision, ECCV 1996
國家United Kingdom
城市Cambridge
期間96-04-1596-04-18

    指紋

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

引用此

Horng, M. H., Sun, Y. N., & Lin, X. Z. (1996). Texture feature coding method for classification of liver sonography. 於 B. Buxton, & R. Cipolla (編輯), Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings (頁 209-218). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 1064). Springer Verlag.