CLASSIFICATION OF BREAST-TISSUE BY TEXTURE ANALYSIS

被引：89

作者：

MILLER, P

ASTLEY, S

机构：

[1] Wolfson Image Analysis Unit, Department of Medical Biophysics, Manchester, M13 9PT, University Manchester. Stopford Building, Oxford Rd.

来源：

IMAGE AND VISION COMPUTING | 1992年 / 10卷 / 05期

关键词：

COMPUTERIZED MAMMOGRAPHY; TEXTURE SEGMENTATION; MEDICAL IMAGE INTERPRETATION;

D O I：

10.1016/0262-8856(92)90042-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The identification of glandular tissue in breast x-rays (mammograms) is important in assessing asymmetry between left and right breasts, and in estimating the radiation risk associated with screening. We have performed experiments to investigate texture-based discrimination between glandular and fatty regions. Results have been compared with a consensus of expert opinions, and a correct classification rate of 80% has been achieved on a set of 40 mammograms.

引用

页码：277 / 282

页数：6

共 22 条

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