Have a personal or library account? Click to login
Detection of masses and microcalcifications in digital mammogram images using fuzzy logic Cover

Detection of masses and microcalcifications in digital mammogram images using fuzzy logic

Open Access
|Jan 2017

References

  1. 1Cheng HD, Shi XJ, Min R, Hu LM, Cai XP, Du HN. Approaches for automated detection and classification of masses in mammograms. Pattern Recognition. 2006; 39:646-68.10.1016/j.patcog.2005.07.006
    ChengHDShiXJMinRHuLMCaiXPDuHNApproaches for automated detection and classification of masses in mammogramsPattern Recognition20063964668
  2. 2Wahid MI. Breast cancer. Kuala Lumpur: Malaysian Oncological Society. [online] 2007. [cited on 2008 Feb 06]. Available from: http://www.malaysiaoncology.org
    WahidMIBreast cancerKuala Lumpur:Malaysian Oncological Society. [online] 2007cited2008Feb06Available fromhttp://www.malaysiaoncology.org
  3. 3Wilson M, Hargrave R, Mitra S, Shieh Y-Y, Roberson GH. Automated detection of microcalcifications in mammograms through application of image pixel remapping and statistical filter. 11th IEEE Symposium on Computer-Based Medical Systems; June 12-14, 1998.
    WilsonMHargraveRMitraSShiehYYRobersonGHAutomated detection of microcalcifications in mammograms through application of image pixel remapping and statistical filter11th IEEE Symposium on Computer-Based Medical Systems; June 12-14199810.1109/CBMS.1998.701372
  4. 4Kang HK, Ro YM, Kim SM. A microcalcification detection using adaptive contrast enhancement on wavelet transform and neural network. IEICE Trans Inf Syst. March 1, 2006; E89-D:1280-7.10.1093/ietisy/e89-d.3.1280
    KangHKRoYMKimSMA microcalcification detection using adaptive contrast enhancement on wavelet transform and neural networkIEICE Trans Inf Syst. March 12006E89-D12807
  5. 5Beam V, Sullivan D, Layde P. Effect of human variability on independent double reading in screening mammography. Acad Radiol. 1996; 3:891-7.895917810.1016/S1076-6332(96)80296-0
    BeamVSullivanDLaydePEffect of human variability on independent double reading in screening mammographyAcad Radiol199638917
  6. 6Thurfjell EL, Lernevall KA, Taube AAS. Benefit of independent double reading in a population-based mammography screening program. Radiology. 1994; 191:241-4.10.1148/radiology.191.1.8134580
    ThurfjellELLernevallKATaubeAASBenefit of independent double reading in a population-based mammography screening programRadiology19941912414
  7. 7Warren Burhenne LJ, Wood SA, D’Orsi CJ. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology. 2000; 215:554-62.1079693910.1148/radiology.215.2.r00ma15554
    Warren BurhenneLJWoodSAD’OrsiCJPotential contribution of computer-aided detection to the sensitivity of screening mammographyRadiology200021555462
  8. 8Vomweg T, Buscema M, Kauczor H, Teifke A, Intraligi M, Terzi S, et al. Improved artificial neural networks in prediction of malignancy of lesions in contrastenhanced MR-mammography. Med Phys. 2003; 30: 2350-9.10.1118/1.1600871
    VomwegTBuscemaMKauczorHTeifkeAIntraligiMTerziSet alImproved artificial neural networks in prediction of malignancy of lesions in contrastenhanced MR-mammographyMed Phys20033023509
  9. 9Tyan SG. Median filtering, deterministic properties. In: Huang ITS, editor. Two dimensional digital signal processing. Berlin: Springer Verlag; 1981.
    TyanSGMedian filtering, deterministic propertiesHuangITSTwo dimensional digital signal processingBerlinSpringer Verlag1981
  10. 10Umbaugh SE. Computer imaging: digital image analysis and processing. NewYork: CRC Press; 2005.
    UmbaughSEComputer imaging:digital image analysis and processingNewYorkCRC Press2005
  11. 11Haralick RM. Statistical and structural approaches to texture. IEEE Trans Image Processing. 1979; 67: 786-804.
    HaralickRMStatistical and structural approaches to textureIEEE Trans Image Processing19796778680410.1109/PROC.1979.11328
  12. 12Pedrycz W. Fuzzy sets in pattern recognition: methodology and methods. Pattern Recognition. 1990; 23:121-46.10.1016/0031-3203(90)90054-O
    PedryczWFuzzy sets in pattern recognition:methodology and methodsPattern Recognition19902312146
  13. 13Wang WJ, Luoh L. Simple computation for the defuzzification of center of sum and center of gravity. Journal of Intelligent and Fuzzy Systems. 2000; 9:53-9.
    WangWJLuohLSimple computation for the defuzzification of center of sum and center of gravityJournal of Intelligent and Fuzzy Systems20009539
  14. 14Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977; 33: 159-74.84357110.2307/2529310
    LandisJRKochGGThe measurement of observer agreement for categorical dataBiometrics19773315974
  15. 15Li H, Wang Y, Liu KJR, Lo SCB, Freedman MT. Computerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networks. IEEE Transactions on Medical Imaging. 2001; 20:302-13.10.1109/42.92147911370897
    LiHWangYLiuKJRLoSCBFreedmanMTComputerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networksIEEE Transactions on Medical Imaging2001203021311370897
  16. 16Bovis K, Singh S, Fieldsend J, Pinder C, editors. Identification of masses in digital mammograms with MLP and RBF nets. Neural Networks 2000, IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference; 2000.
    BovisKSinghSFieldsendJPinderCIdentification of masses in digital mammograms with MLP and RBF netsNeural Networks 2000, IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference200010.1109/IJCNN.2000.857859
  17. 17Bovis K, Singh S, editors. Detection of masses in mammograms using texture features. 15th International Conference on Pattern Recognition (ICPR’00) 2000.
    BovisKSinghSDetection of masses in mammograms using texture features15th International Conference on Pattern Recognition (ICPR’00)200010.1109/ICPR.2000.906064
  18. 18Chen W, Giger M, Bick U, Newstead G. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Med Phys. 2006; 33:2878-87.1696486410.1118/1.2210568
    ChenWGigerMBickUNewsteadGAutomatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRIMed Phys20063328788716964864
DOI: https://doi.org/10.5372/1905-7415.1004.497 | Journal eISSN: 1875-855X | Journal ISSN: 1905-7415
Language: English
Page range: 345 - 350
Published on: Jan 31, 2017
Published by: Chulalongkorn University
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2017 Mostafa Langarizadeh, Rozi Mahmud, Rafat Bagherzadeh, published by Chulalongkorn University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.