Evaluation of breast cancer risk by using fuzzy logic

被引：0
|
作者：
Caramihai, M. [1 ]
Severin, I. [1 ]
Blidaru, A. [1 ]
Balan, H. [2 ]
Saptefrati, C. [2 ]
机构：
[1] Politehn Univ, Dept Automat Control & Syst Engn, Sp Independentei,313, Bucharest, Romania
[2] Univ Free State, Dept Med Phys, Bloemfontein, South Africa
来源：
NEW ASPECTS OF APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS AND INFORMATICS AND COMMUNICATION | 2010年
关键词：
Breast Cancer; Fuzzy Techniques; Computer Aided Diagnostic; Risk evaluation; Lesion classification;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The decisional process of the best suited follow-up treatment for a breast cancer case is strongly connected to the correct diagnosis of the breast cancer risk. Though there are plenty of experienced doctors, top range imaginary devices and advanced radiological techniques, the methods and criteria to diagnose/quantify the detected lesion characteristics, to appreciate the breast cancer development stage and to finally conclude with a certified (most probable) risk diagnostic are still subjectively and poorly defined for most of the medical stuff. The present paper introduces a set of fuzzy rules that can process the relevant data of breast cancer cases in order to give a breast cancer risk prognostic factor qualitatively comparable to the one the expert gives.
引用
收藏
页码：37 / +
页数：3
相关论文
共 50 条
  • [41] Sensory evaluation of mango drinks using fuzzy logic
    Jaya, S
    Das, H
    JOURNAL OF SENSORY STUDIES, 2003, 18 (02) : 163 - 176
  • [42] Coordination in supply chains: an evaluation using fuzzy logic
    Kanda, Arshinder A.
    Deshmukh, S. G.
    PRODUCTION PLANNING & CONTROL, 2007, 18 (05) : 420 - 435
  • [43] Evaluation of alternatives for product customization using fuzzy logic
    Tsai, HC
    Hsiao, SW
    INFORMATION SCIENCES, 2004, 158 : 233 - 262
  • [44] EVALUATION OF INNOVATIVE POTENTIAL OF SMES USING THE FUZZY LOGIC
    Janakova, Hana
    INNOVATION MANAGEMENT, ENTREPRENEURSHIP AND CORPORATE SUSTAINABILITY (IMECS 2016), 2016, : 271 - 281
  • [45] An Intelligent Risk Prediction System for Breast Cancer Using Fuzzy Temporal Rules
    U. Kanimozhi
    S. Ganapathy
    D. Manjula
    A. Kannan
    National Academy Science Letters, 2019, 42 : 227 - 232
  • [46] An Intelligent Risk Prediction System for Breast Cancer Using Fuzzy Temporal Rules
    Kanimozhi, U.
    Ganapathy, S.
    Manjula, D.
    Kannan, A.
    NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2019, 42 (03): : 227 - 232
  • [47] Intelligent systems using fuzzy logic for the determination of breast tumors
    Cheng, XY
    Itoh, K
    Ohya, A
    Omoto, K
    Wang, Y
    Taniguchi, N
    Ogawa, S
    Akiyama, I
    PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 1356 - 1359
  • [48] Mammographic breast density and breast cancer risk: Evaluation using volumetric breast density software
    Koshi, Suzanne
    Singla, Veenu
    Singh, Tulika
    Prabhakar, Nidhi
    Bal, Amanjit
    Singh, Gurpreet
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2020, 16 (06) : 1258 - 1264
  • [49] Detection of Breast Cancer from Histopathology image and Classifying Benign and Malignant State Using Fuzzy Logic
    Johra, Fatema-Tuz
    Shuvo, Md Maruf Hossain
    2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT), 2016,
  • [50] Multicriteria Risk Evaluation Model: Utilizing Fuzzy Logic for Improved Transparency and Quality of Risk Evaluation in Healthcare
    Drnovsek, Rok
    Kapun, Marija Milavec
    Steblaj, Simona
    Rajkovic, Uros
    RISK MANAGEMENT AND HEALTHCARE POLICY, 2025, 18 : 637 - 653
12345