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.
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收藏
页码：277 / 282
页数：6
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