Medical Image Diagnosis Based on Rough Sets Theory

被引：0
|
作者：
Ion, A. L. [1 ]
Udristoiu, S. [1 ]
机构：
[1] Univ Craiova, Software Engn Dept, Craiova, Romania
来源：
INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY | 2011年 / 36卷
关键词：
medical image diagnosis; rough sets; image colour; image texture; image shape; DATABASE;
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：
This paper proposes the utilization of rough set theory for modeling the medical images to help physicians in diagnosing. The rough set theory is a powerful approach that permits the searching for patterns in medical images using the minimal length principles. Searching for models with small size is performed by means of many different kinds of reducts that generate the decision rules capable for identifying the medical diagnosis.
引用
收藏
页码：206 / 211
页数：6
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