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
相关论文
共 50 条
  • [31] Research on Fault Diagnosis Method based Rough Sets Theory and Neural Network
    Zou Wensheng
    Zhang Jianlin
    Long Chengzhi
    [J]. 2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 355 - +
  • [32] Transfomer fault diagnosis based on rough sets theory and Artificial Neural Networks
    Yu, Xiaodong
    Zang, Hongzhi
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS, 2007, : 1342 - +
  • [33] Research on the Information Fusion Method of Oil Diagnosis and Vibration Diagnosis Based on the Rough Sets Theory
    ZHAO Xin-ze1
    [J]. International Journal of Plant Engineering and Management, 2007, (03) : 139 - 147
  • [34] Boundary-wise loss for medical image segmentation based on fuzzy rough sets
    Lin, Qiao
    Chen, Xin
    Chen, Chao
    Garibaldi, Jonathan M.
    [J]. INFORMATION SCIENCES, 2024, 661
  • [35] Method for image segmetnation based on rough sets
    Liu, HJ
    Liu, YC
    [J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2004, 23 (06) : 459 - 464
  • [36] Pi-distance of rough neutrosophic sets for medical diagnosis
    Edward Samuel, A.
    Narmadhagnanam, R.
    [J]. Neutrosophic Sets and Systems, 2019, 28 (2019): : 51 - 57
  • [37] Pi-Distance of Rough Neutrosophic Sets for Medical Diagnosis
    Samuel, A. Edward
    Narmadhagnanam, R.
    [J]. NEUTROSOPHIC SETS AND SYSTEMS, 2019, 28 : 51 - 57
  • [38] Research and Application of CT Image Mining based on Rough Sets Theory and Association Rules
    Xu Dong
    Li Fuyun
    [J]. PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, : 392 - 394
  • [39] Outlier detection based on rough sets theory
    Shaari, Faizah
    Abu Bakar, Azuraliza
    Hamdan, Abdul Razak
    [J]. INTELLIGENT DATA ANALYSIS, 2009, 13 (02) : 191 - 206
  • [40] Attribute classification based on the rough sets theory
    Department of Computer Science, Guangdong Institution of Education, Guangzhou 510640, China
    不详
    [J]. Kong Zhi Li Lun Yu Ying Yong, 2008, 3 (591-595):
12345