메뉴 건너뛰기




Volumn 8, Issue 1, 2013, Pages 68-76

Variable hidden neuron ensemble for mass classification in digital mammograms

Author keywords

[No Author keywords available]

Indexed keywords

AUSTRALIA; BREAST CANCER; BREAST DENSITY; DETECTION AND DIAGNOSIS; DIGITAL MAMMOGRAMS; GOLD STANDARDS; HIDDEN NEURONS; INTELLIGENT TECHNIQUES; ZOOMING-IN;

EID: 84872689875     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2012.2228598     Document Type: Article
Times cited : (9)

References (45)
  • 1
    • 84872702757 scopus 로고    scopus 로고
    • South Jersey Radiology Associates. Sept. 29, PA. [Online]
    • South Jersey Radiology Associates. (2012, Sept. 29). Women's Imaging. PA. [Online]. Available: http://v002-dt. wwwcomm.com/imaging/serv-digital.asp
    • (2012) Women's Imaging
  • 3
    • 80054939859 scopus 로고    scopus 로고
    • A neural network for thyroid segmentation and volume estimation in CT images
    • Nov
    • ]C. Chuan-Yu, C. Pau-Choo, H. Yong-Cheng, and T. Chin-Hsiao, "A neural network for thyroid segmentation and volume estimation in CT images," IEEE Comput. Intell. Mag., vol. 6, no. 4, pp. 43-55, Nov. 2011.
    • (2011) IEEE Comput. Intell. Mag. , vol.6 , Issue.4 , pp. 43-55
    • Chuan-Yu, C.1    Pau-Choo, C.2    Yong-Cheng, H.3    Chin-Hsiao, T.4
  • 4
    • 80054883765 scopus 로고    scopus 로고
    • Cartesian genetic programming and its application to medical diagnosis
    • Nov
    • ]S. Smith, "Cartesian genetic programming and its application to medical diagnosis," IEEE Comput. Intell. Mag., vol. 6, no. 4, pp. 56-67, Nov. 2011.
    • (2011) IEEE Comput. Intell. Mag. , vol.6 , Issue.4 , pp. 56-67
    • Smith, S.1
  • 5
    • 33845743951 scopus 로고    scopus 로고
    • Clinical versus research approach to breast cancer detection with CAD: Where are we now?
    • DOI 10.2214/AJR.06.1449
    • ]R. Brem, "Clinical versus research approach to breast cancer detection with CAD: Where are we now?" Ameri. J. Roentol., vol. 188, no. 1, pp. 234-235, 2007. (Pubitemid 46012515)
    • (2007) American Journal of Roentgenology , vol.188 , Issue.1 , pp. 234-235
    • Brem, R.F.1
  • 6
    • 38149020642 scopus 로고    scopus 로고
    • Performance analysis of classifier ensembles: Neural networks versus nearest neighbor rule
    • J. Mart, J. Bened, A. Mendon, and J. Serrat, Eds. Heidelberg, Germany: Springer-Verlag
    • R. Valdovinos and J. Sanchez, "Performance analysis of classifier ensembles: Neural networks versus nearest neighbor rule," in Pattern Recognition Image Analysis (Lecture Notes in Computer Science), vol. 4477, J. Mart, J. Bened, A. Mendon, and J. Serrat, Eds. Heidelberg, Germany: Springer-Verlag, 2007, pp. 105-112.
    • (2007) Pattern Recognition Image Analysis (Lecture Notes in Computer Science) , vol.4477 , pp. 105-112
    • Valdovinos, R.1    Sanchez, J.2
  • 7
    • 84860320195 scopus 로고    scopus 로고
    • Parallel approach for diagnosis of breast cancer using neural network technique"
    • Nov.
    • U. Rani, "Parallel approach for diagnosis of breast cancer using neural network technique", Int. J. Comput. Applicat., vol. 10, no. 3, pp. 1-5, Nov. 2010.
    • (2010) Int. J. Comput. Applicat. , vol.10 , Issue.3 , pp. 1-5
    • Rani, U.1
  • 10
    • 79953745900 scopus 로고    scopus 로고
    • Optimizing case-based detection performance in a multiview CAD system for mammography
    • Apr.
    • M. Samulski and N. Karssemeijer, "Optimizing case-based detection performance in a multiview CAD system for mammography," IEEE Trans. Med. Imag., vol. 30, no. 4, pp. 1001-1009, Apr. 2011.
    • (2011) IEEE Trans. Med. Imag. , vol.30 , Issue.4 , pp. 1001-1009
    • Samulski, M.1    Karssemeijer, N.2
  • 19
    • 34250832163 scopus 로고    scopus 로고
    • Predicting metastasis in breast cancer: Comparing a decision tree with domain experts
    • DOI 10.1007/s10916-007-9064-1
    • A. Razavi, H. Gill, H. Åhlfeldt, and N. Shahsavar, "Predicting metastasis in breast cancer: Comparing a decision tree with domain experts," J. Med. Syst., vol. 31, no. 4, pp. 263-273, 2007. (Pubitemid 46988153)
    • (2007) Journal of Medical Systems , vol.31 , Issue.4 , pp. 263-273
    • Razavi, A.R.1    Gill, H.2    Ahlfeldt, H.3    Shahsavar, N.4
  • 21
    • 0002734346 scopus 로고    scopus 로고
    • The digital database for screening mammography
    • Madison, WI: Medical Physics Publishing
    • M. Heath, K. Bowyer, D. Kopans, R. Moore, and P. Kegelmeyer, "The digital database for screening mammography," in IWDM-2000, Madison, WI: Medical Physics Publishing, 2001.
    • (2001) IWDM-2000
    • Heath, M.1    Bowyer, K.2    Kopans, D.3    Moore, R.4    Kegelmeyer, P.5
  • 22
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorization
    • Mar.
    • G. Brown, J. Wyatt, R. Harris, and X. Yao, "Diversity creation methods: A survey and categorization," J. Inform. Fusion, vol. 6, pp. 5-20, Mar. 2005.
    • (2005) J. Inform. Fusion , vol.6 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 23
    • 35348915328 scopus 로고    scopus 로고
    • Classifier ensembles: Select real-world applications
    • DOI 10.1016/j.inffus.2007.07.002, PII S1566253507000620, Applications of Ensemble Methods
    • N. Oza and K. Tumer, "Classifier ensembles: Select real-world applications," J. Inform. Fusion, vol. 9, no. 1, pp. 4-20, 2008. (Pubitemid 47589064)
    • (2008) Information Fusion , vol.9 , Issue.1 , pp. 4-20
    • Oza, N.C.1    Tumer, K.2
  • 24
    • 78651532026 scopus 로고    scopus 로고
    • A new ensemble learning approach for microcalcification clusters detection
    • Nov
    • X. Zhang, "A new ensemble learning approach for microcalcification clusters detection," J. Software, vol. 4, no. 9, pp. 1014-1021, Nov. 2009.
    • (2009) J. Software , vol.4 , Issue.9 , pp. 1014-1021
    • Zhang, X.1
  • 25
    • 84863220843 scopus 로고    scopus 로고
    • Diagnosing breast masses in digital mammography using feature selection and ensemble methods
    • Apr.
    • S. Luo and B. Cheng, "Diagnosing breast masses in digital mammography using feature selection and ensemble methods," J. Med. Syst., vol. 36, no. 2, pp. 569-577, Apr. 2012.
    • (2012) J. Med. Syst. , vol.36 , Issue.2 , pp. 569-577
    • Luo, S.1    Cheng, B.2
  • 28
    • 82755162159 scopus 로고    scopus 로고
    • Classification of normal and abnormal patterns in digital mammograms for diagnosis of breast cancer
    • Aug.
    • R. Nithya and B. Santhi, "Classification of normal and abnormal patterns in digital mammograms for diagnosis of breast cancer," Int. J. Computer Applicat., vol. 28, no. 6, pp. 21-25, Aug. 2011.
    • (2011) Int. J. Computer Applicat. , vol.28 , Issue.6 , pp. 21-25
    • Nithya, R.1    Santhi, B.2
  • 29
    • 79959391001 scopus 로고    scopus 로고
    • Classification of breast tissue in mammograms using efficient coding
    • D. Costa, L. Campos, and A. Barros, "Classification of breast tissue in mammograms using efficient coding," BioMed. Eng. Online, vol. 10, no. 55, 2011.
    • (2011) BioMed. Eng. Online , vol.10 , Issue.55
    • Costa, D.1    Campos, L.2    Barros, A.3
  • 30
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine Learn., vol. 24, no. 2, pp. 123-140, 1996. (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 31
    • 0036080160 scopus 로고    scopus 로고
    • Bagging, boosting and the random subspace method for linear classifiers
    • DOI 10.1007/s100440200011
    • M. Skurichina and R. Duin, "Bagging, boosting and the random subspace method for linear classifiers," Pattern Anal. Applicat., vol. 5, no. 2, pp. 121-135, 2002. (Pubitemid 40830126)
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 121-135
    • Skurichina, M.1    Duin, R.P.W.2
  • 32
    • 0034247206 scopus 로고    scopus 로고
    • Multiboosting: A technique for combining boosting and wagging
    • G. Webb, "Multiboosting: A technique for combining boosting and wagging," Machine Learn., vol. 40, pp. 159-197, 2000.
    • (2000) Machine Learn. , vol.40 , pp. 159-197
    • Webb, G.1
  • 33
    • 10444259853 scopus 로고    scopus 로고
    • Creating diversity in ensembles using artificial data
    • P. Melville and R. Mooney, "Creating diversity in ensembles using artificial data," Inform. Fusion, vol.6, no. 1, pp. 99-111, 2005.
    • (2005) Inform. Fusion , vol.6 , Issue.1 , pp. 99-111
    • Melville, P.1    Mooney, R.2
  • 34
    • 84868285653 scopus 로고    scopus 로고
    • Ensemble feature weighting based on local learning and diversity
    • Y. Li, S. Gao, and S. Chen, "Ensemble feature weighting based on local learning and diversity," in Proc. 26th AAAI Conf. Artificial Intelligence, 2012, pp. 1019-1025.
    • (2012) Proc. 26th AAAI Conf. Artificial Intelligence , pp. 1019-1025
    • Li, Y.1    Gao, S.2    Chen, S.3
  • 35
    • 84865076207 scopus 로고    scopus 로고
    • Clustered ensemble neural network for breast mass classification in digital mammography
    • Brisbane, Australia
    • P. Mc Leod and B. Verma, "Clustered ensemble neural network for breast mass classification in digital mammography," in Proc. IEEE World Congr. Computational Intelligence, Brisbane, Australia, 2012, pp. 1266-1271.
    • (2012) Proc. IEEE World Congr. Computational Intelligence , pp. 1266-1271
    • Mc Leod, P.1    Verma, B.2
  • 36
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • D. Partridge and W. Yates, "Engineering multiversion neural-net systems," Neural Comput., vol. 8, no. 4, pp. 869-893, 1996. (Pubitemid 126449950)
    • (1996) Neural Computation , vol.8 , Issue.4 , pp. 869-893
    • Partridge, D.1    Yates, W.B.2
  • 37
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," Adv. Neural Inform. Process. Syst., vol. 8, pp. 231-238, 1995.
    • (1995) Adv. Neural Inform. Process. Syst. , vol.8 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 39
    • 23444461386 scopus 로고    scopus 로고
    • Content-based retrieval and analysis of mammographic masses
    • DOI 10.1117/1.1902996, 023016
    • H. Alto, R. Rangayyan, and J. Desautels, "Contentbased retrieval and analysis of mammographic masses," J. Electron. Imag., vol. 14, no. 2, pp. 1-17, 2005. (Pubitemid 41107476)
    • (2005) Journal of Electronic Imaging , vol.14 , Issue.2 , pp. 1-17
    • Alto, H.1    Rangayyan, R.M.2    Desautels, J.E.L.3
  • 40
    • 33744548422 scopus 로고    scopus 로고
    • Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features
    • T. Andre and R. Rangayyan, "Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features," J. Electron. Imag., vol. 15, no. 1, p. 013019, 2005.
    • (2005) J. Electron. Imag. , vol.15 , Issue.1 , pp. 013019
    • Andre, T.1    Rangayyan, R.2
  • 41
    • 0022455625 scopus 로고
    • The relation between survival and age at diagnosis in breast cancer
    • H. Adami, B. Malker, L. Homberg, I. Persson, and B. Stone, "The relation between survival age at diagnosis in breast cancer," J. New England Medicine, vol. 315, pp. 559-563, 1986. (Pubitemid 16052469)
    • (1986) New England Journal of Medicine , vol.315 , Issue.9 , pp. 559-563
    • Adami, H.-O.1    Malker, B.2    Holmberg, L.3
  • 42
    • 84864225421 scopus 로고    scopus 로고
    • Towards the wide spread use of type-2 fuzzy logic systems in real world applications
    • Aug.
    • H. Hagrasand and C. Wagner, "Towards the wide spread use of type-2 fuzzy logic systems in real world applications," Comput. Intell. Mag., vol. 7, no. 3, pp. 14-24, Aug. 2012.
    • (2012) Comput. Intell. Mag. , vol.7 , Issue.3 , pp. 14-24
    • Hagrasand, H.1    Wagner, C.2
  • 43
    • 79551665221 scopus 로고    scopus 로고
    • Ensemble learning with active selection for imbalanced biomedical data classification
    • Mar/Apr
    • S. Oh, M. Lee, and B. Zhang, "Ensemble learning with active selection for imbalanced biomedical data classification," IEEE/ACM Trans. Comput. Biol. BioInform., vol. 8, no. 2, pp. 316-325, Mar./Apr. 2011.
    • (2011) IEEE/ACM Trans. Comput. Biol. BioInform. , vol.8 , Issue.2 , pp. 316-325
    • Oh, S.1    Lee, M.2    Zhang, B.3
  • 44
    • 67649631663 scopus 로고    scopus 로고
    • An adaptive incremental approach to constructing ensemble classifiers: Application in an information-theoretic computer-aided decision system for detection of masses in mammograms
    • M. Mazurowski, J. Zurada, and G. Tourassi, "An adaptive incremental approach to constructing ensemble classifiers: Application in an information-theoretic computer-aided decision system for detection of masses in mammograms," Med. Phys., vol. 36, no. 7, pp. 2976-2985, 2009.
    • (2009) Med. Phys. , vol.36 , Issue.7 , pp. 2976-2985
    • Mazurowski, M.1    Zurada, J.2    Tourassi, G.3
  • 45
    • 84859886103 scopus 로고    scopus 로고
    • Selection of proper neural network sizes and architectures - A comparative study
    • May
    • D. Hunter, H. Yu, M. Pukish, J. Kolbusz, and B. Wilamowski, "Selection of proper neural network sizes and architectures - A comparative study," IEEE Trans. Ind. Inform., vol. 8, no. 2, pp. 228-240, May 2012.
    • (2012) IEEE Trans. Ind. Inform. , vol.8 , Issue.2 , pp. 228-240
    • Hunter, D.1    Yu, H.2    Pukish, M.3    Kolbusz, J.4    Wilamowski, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.