Automatic detection of microcalcification clusters using fuzzy logic and wavelet transformation

被引：0
|
作者：
Cheng, HD [1 ]
Liu, XY [1 ]
Shi, XJ [1 ]
Hu, LM [1 ]
机构：
[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
来源：
Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3 | 2005年
关键词：
fuzzy logic; wavelet transformation; maximum entropy principle; microcalcification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In 2004, 215,990 new cases of breast cancer are expected to occur among women in the United States. Early detection of breast cancer is essential in breast cancer control. In this paper, a novel approach to microcalcification detection, based on fuzzy logic and wavelet transformation is presented. Then, the free-response operating characteristic curve (FROC) is used to evaluate the performance. Compared with existing algorithms using the same set of mammograms, the proposed algorithm achieves better results, producing both low FPs and low FNs rates.
引用
收藏
页码：686 / 689
页数：4
相关论文
共 50 条
  • [41] A hybrid technique for detection of microcalcification clusters in mammograms
    Choe, HC
    McCord, GC
    Chan, AK
    WAVELET APPLICATIONS V, 1998, 3391 : 409 - 421
  • [42] Microcalcification Detection Using a Fuzzy Inference System and Support Vector Machines
    Kabbadj, Younes
    Regragui, Fakhita
    Himmi, Mohammed Majid
    2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, : 314 - 317
  • [43] Fuzzy logic based segmentation of microcalcification in breast using digital mammograms considering multiresolution
    Bhattacharya, Mahua
    Das, Arpita
    IMVIP 2007: INTERNATIONAL MACHINE VISION AND IMAGE PROCESSING CONFERENCE, PROCEEDINGS, 2007, : 98 - +
  • [44] Automated detection of microcalcification clusters in digital mammograms based on wavelet domain hidden markov tree modeling
    Regentova, E.
    Zhang, L.
    Zheng, J.
    Veni, G.
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2007, 2 : S338 - S340
  • [45] Mammographic images enhancement and denoising for microcalcification detection using dyadic wavelet processing
    Mencattini, A.
    Salmeri, M.
    Lojacono, R.
    Caselli, F.
    2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5, 2006, : 49 - +
  • [46] A microcalcification detection using adaptive contrast enhancement on wavelet transform and neural network
    Kang, HK
    Ro, YM
    Kim, SM
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2006, E89D (03): : 1280 - 1287
  • [47] Automatic Detection of Hard Exudates in Diabetic Retinopathy Using Morphological Segmentation and Fuzzy Logic
    Basha, S. Saheb
    Prasad, K. Satya
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (12): : 211 - 218
  • [48] Automatic assessment marking and plagiarism detection using SOM, fuzzy logic, and decision trees
    Ghosh, Moumita
    Ghosh, Ranadhir
    WMSCI 2005: 9TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL 3, 2005, : 281 - 285
  • [49] Automatic detection of cardiac contours on MR Images using fuzzy logic and dynamic programming
    Lalande, A
    Legrand, L
    Walker, PM
    Jaulent, MC
    Guy, F
    Cottin, Y
    Brunotte, F
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1997, : 474 - 478
  • [50] A Novel Cascade Classifier for Automatic Microcalcification Detection
    Shin, Seung Yeon
    Lee, Soochahn
    Yun, Il Dong
    Jung, Ho Yub
    Heo, Yong Seok
    Kim, Sun Mi
    Lee, Kyoung Mu
    PLOS ONE, 2015, 10 (12):
12345