New aspects of using the structural graph-grammar based techniques for recognition of selected medical images

被引：0

作者：

Marek R. Ogiela

Ryszard Tadeusiewicz

机构：

[1] University of Mining and Metallurgy,Institute of Automatics

来源：

Journal of Digital Imaging | 2001年 / 14卷

关键词：

Renal Pelvis; Graph Grammar; Pathologic Symptom; Urinary Tract Disorder; Renal Calyx;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This report will describe the application of syntactic pattern recognition methods for analysis of morphology and recognition of pathologic symptoms of chronic diseases such as upper urinary tract disorders. Detection of these lesions will be assisted by the special graph-grammar developed in our institute for efficient analysis and recognition of such lesions. We present key points of methodology and practical results of its application.

引用

页码：231 / 232

页数：1

共 4 条

[1]

Ogiela MR(1999)Syntactic analysis and languages of shape feature description in computer aided diagnosis and recognition of cancerous and inflammatory lesions of organs in selected x-ray images J Digit Imaging 12 24-27

[2]

Tadeusiewicz R(1999)Challenges associated with incorporation of digital radiography into a picture archiving and communications system J Digit Imaging 12 6-8

[3]

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[4]

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