Biomedical Image Processing Based on Regression Models

被引：0

作者：

Lorencs, A. ^{[1
]}

Mednieks, I. ^{[1
]}

Sinica-Sinavskis, J. ^{[1
]}

机构：

[1] Inst Elect & Comp Sci, Riga, Latvia

来源：

14TH NORDIC-BALTIC CONFERENCE ON BIOMEDICAL ENGINEERING AND MEDICAL PHYSICS | 2008年 / 20卷

关键词：

pattern recognition; linear regression; biomedical image processing; computer- aided diagnostics; clustering;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The problem of detecting specific objects or anomalies (OA) in tissue samples of living beings from their digital images is considered. Taking into account that pixel values in images (brightness levels) can be interpreted as sums of values related to physical objects and realizations of additive random variables, regression method (RM) for detection of OA was developed. It is based on mathematical approach of statistical analysis of regression models, coupled with hierarchic clustering method.

引用

页码：536 / 539

页数：4

共 9 条

[1] Armitage P, 2001, STAT METHODS MED RES
[2] CAMPADELLI P, 2005, ICIP, V1, P1117
[3] Fukunaga K., 1990, INTRO STAT PATTERN R
[4] LORENCS A, 1991, P U LATV MATH RIG LA, V562, P53
[5] LORENCS A, 1984, AUTOMATION ANAL RECO, V4, P5
[6] Marques de Sa J. P., 2001, Pattern recognition: concepts, methods, and applications
[7] Development of an automated detection system for microcalcifications on mammograms by using the higher-order autocorrelation features
Ohe, Y
Shinohara, N
Hara, T
Fujita, H
Endo, T
Iwase, T
[J]. MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 1815 - 1822
[8] PRATT W.K., 1991, DIGITAL IMAGE PROCES, V2
[9] Tou T., 1974, PATTERN RECOGN, DOI DOI 10.1002/ZAMM.19770570626

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