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Volumn , Issue , 2015, Pages

Chronic eye disease diagnosis using ensemble-based classifier

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; EYE PROTECTION; FUZZY LOGIC; FUZZY NEURAL NETWORKS; LEARNING SYSTEMS; OPHTHALMOLOGY; PETROLEUM RESERVOIR EVALUATION; PRINCIPAL COMPONENT ANALYSIS;

EID: 84923115950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEngTechnol.2014.7016799     Document Type: Conference Paper
Times cited : (4)

References (45)
  • 2
    • 84857162613 scopus 로고    scopus 로고
    • An efficient solution for aligning huge dna sequences International Conference on Computer Engineering and Systems
    • A. M. Hosny , H. A. SheDeed, A. S. Hussein , M. F. Tolba, An efficient solution for aligning huge DNA sequences International Conference on Computer Engineering and Systems, ICCES2011, pp. 295-300, 2011
    • (2011) ICCES2011 , pp. 295-300
    • Hosny, A.M.1    Shedeed, H.A.2    Hussein, A.S.3    Tolba, M.F.4
  • 3
    • 33749550361 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Weinberger , J. Blitzer, L. Saul, Distance metric learning for large margin nearest neighbor classification, Proceedings of NIPS, 2006
    • (2006) Proceedings of NIPS
    • Weinberger, K.1    Blitzer, J.2    Saul, L.3
  • 4
    • 77957018181 scopus 로고    scopus 로고
    • A hybrid SVM based Decision tree
    • M. Kumar, M. Gopal, A hybrid SVM based Decision tree , Pattern Recognition 43, 39773987, 2010
    • (2010) Pattern Recognition , vol.43 , pp. 39773987
    • Kumar, M.1    Gopal, M.2
  • 5
    • 51349154782 scopus 로고    scopus 로고
    • Finite-dimensional projection for classification and statistical learning
    • G. Blanchard, L. Zwald, Finite-dimensional projection for classification and statistical learning, IEEE Trans. Inf. Theory 54, 41694182, , 2008
    • (2008) IEEE Trans. Inf. Theory , vol.54 , pp. 4169-4182
    • Blanchard, G.1    Zwald, L.2
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, Random Forests, Machine Learning, vol. 45(1), 5-32, 2001
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 8
    • 26444516836 scopus 로고    scopus 로고
    • Combining pattern classifiers
    • Wiley New York
    • L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms, Wiley, New York, 2004
    • (2004) Methods and Algorithms
    • Kuncheva, L.I.1
  • 11
    • 84862814363 scopus 로고    scopus 로고
    • An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-Angle glaucoma
    • L. Cheng , Y. Ding , K. Hao, Y. Hua, An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-Angle glaucoma, ELSEVIER, Neurocomputing, Vol. 83, 111, 2012
    • (2012) ELSEVIER Neurocomputing , vol.83 , Issue.111
    • Cheng, L.1    Ding, Y.2    Hao, K.3    Hua, Y.4
  • 14
    • 0028432919 scopus 로고
    • A new classification of glaucoma including focal glaucoma
    • MAY
    • G. L. Spaeth, A New Classification of Glaucoma Including Focal Glaucoma, ELSEVIER, Survey of Ophthalmology, Volume 38, SUPPLEMENT, S9-S17, MAY 1994
    • (1994) ELSEVIER Survey of Ophthalmology , vol.38 , pp. S9-S17
    • Spaeth, G.L.1
  • 15
    • 0001710173 scopus 로고
    • Low tension glaucoma. Its diagnosis and management
    • G. L. Spaeth, Low tension glaucoma. its diagnosis and management, Doc Ophthalmol, Volume 22, 263-287, 1980
    • (1980) Doc Ophthalmol , vol.22 , pp. 263-287
    • Spaeth, G.L.1
  • 16
    • 0013773058 scopus 로고
    • The course of untreated ocular hypertension A tonographic study
    • E. Linner, U. Stromberg , The course of untreated ocular hypertension A tonographic study, Acta Ophthalmol, 42, 836-848, 1964
    • (1964) Acta Ophthalmol , vol.42 , pp. 836-848
    • Linner, E.1    Stromberg, U.2
  • 17
    • 84912921672 scopus 로고
    • Focal and diffuse glaucomatous visual field Defects Their relationship to intraocular pressure (abstract)
    • T. W. Samuelson , G. L. Spaeth, Focal and diffuse glaucomatous visual field Defects Their relationship to intraocular pressure (abstract), Invest Ophthalmot Vis Sci (suppl), 810, 1991
    • (1991) Invest Ophthalmot Vis Sci , vol.810
    • Samuelson, T.W.1    Spaeth, G.L.2
  • 18
    • 0018902756 scopus 로고
    • Low tension glaucoma a critical review and new material
    • R. Z. Levene, Low tension glaucoma a critical review and new material, Surv Ophthalmol 24, 621-664, 1980
    • (1980) Surv Ophthalmol , vol.24 , pp. 621-664
    • Levene, R.Z.1
  • 19
    • 0003303166 scopus 로고
    • Prevalence and clinical aspects of low-tension glaucoma
    • Henkind P ed, Acta XXIV, PhilaDelphia, JB Lippincott Company
    • Y. Shiose , Prevalence and clinical aspects of low-tension glaucoma, in Henkind P (ed), Acta XXIV International Congress of Ophthalmology, American AcaDemy of Ophthalmology, PhilaDelphia, JB Lippincott Company, 1983
    • (1983) International Congress of Ophthalmology, American AcaDemy of Ophthalmology
    • Shiose, Y.1
  • 20
    • 0025838179 scopus 로고
    • EpiDemiology of glaucoma in Japan, a nationwiDe glaucoma survey
    • Y. Shiose , Y. Kitazawa , S. Tsukahara et al, EpiDemiology of glaucoma in Japan, a nationwiDe glaucoma survey, Jpn J Ophthalmol, 35, 133-155, 1991
    • (1991) Jpn J Ophthalmol , vol.35 , pp. 133-155
    • Shiose, Y.1    Kitazawa, Y.2    Tsukahara, S.3
  • 21
    • 33845801670 scopus 로고    scopus 로고
    • Validated prediction moDel for the Development of primary open-Angle glaucoma in individuals with ocular hypertension
    • M. O. Gordon, V. Torri, et al., Validated prediction moDel for the Development of primary open-Angle glaucoma in individuals with ocular hypertension, Ophthalmology , 114(1), 1019, , 2007
    • (2007) Ophthalmology , vol.114 , Issue.1 , pp. 1019
    • Gordon, M.O.1    Torri, V.2
  • 22
    • 0036272299 scopus 로고    scopus 로고
    • The ocular hypertension treatment study baseline factors that predict the onset of primary open-Angle glaucoma
    • discussion 829830
    • M. O. Gordon, J. A. Beiser, et al., The ocular hypertension treatment study baseline factors that predict the onset of primary open-Angle glaucoma, Arch. Ophthalmol., 2002, 714720; discussion 829830
    • (2002) Arch. Ophthalmol , pp. 714-720
    • Gordon, M.O.1    Beiser, J.A.2
  • 23
    • 33845724151 scopus 로고    scopus 로고
    • Predictive factors for open angle glaucoma among patients with ocular hypertension in the European glaucoma prevention study
    • S. Miglior, N. Pfeiffer, et al. Predictive factors for open angle glaucoma among patients with ocular hypertension in the European glaucoma prevention study, Ophthalmology, 2007, 114(1), 39
    • (2007) Ophthalmology , vol.114 , Issue.1 , pp. 39
    • Miglior, S.1    Pfeiffer, N.2
  • 24
    • 84906668779 scopus 로고    scopus 로고
    • A comparison of different prediction moDels in the progression of Ocular hypertension to Primary Open Angle Glaucoma
    • M. Waly, A. Sharawy, K. Wahba, A Comparison of Different Prediction MoDels in the Progression of Ocular hypertension to Primary Open Angle Glaucoma, International Journal of Applied Information Systems (IJAIS)-Volume 5, No.3, 2013
    • (2013) International Journal of Applied Information Systems (IJAIS) , vol.5 , Issue.3
    • Waly, M.1    Sharawy, A.2    Wahba, K.3
  • 25
    • 59449103672 scopus 로고    scopus 로고
    • Predicting progressive glaucomatous optic neuropathy using baseline standard automated perimetry data
    • S. Demirel , B. Fortune, J. Fan , et al., Predicting progressive glaucomatous optic neuropathy using baseline standard automated perimetry data, Submitted to Investigative Ophthalmology and Visual Science, 50(2), 08-1767, 2009
    • (2009) Submitted to Investigative Ophthalmology and Visual Science , vol.50 , Issue.2 , pp. 08-1767
    • Demirel, S.1    Fortune, B.2    Fan, J.3
  • 26
    • 84923071628 scopus 로고    scopus 로고
    • An application of machine learning techniques for the Classification of Glaucomatous Progressio
    • M. Lazarescu, A. Turpin, S. Venkatesh, An Application of Machine Learning Techniques for the Classification of Glaucomatous Progressio, . SSPR/SPR, 243-251, 2002
    • (2002) SSPR/SPR , pp. 243-251
    • Lazarescu, M.1    Turpin, A.2    Venkatesh, S.3
  • 27
    • 33846896731 scopus 로고    scopus 로고
    • Rule extraction for glaucoma Detection with summary data from Stratus OCT
    • M. L. Huang , H. Y. Chen, J. C. Lin , Rule extraction for glaucoma Detection with summary data from Stratus OCT. Invest Ophthalmol Vis Sci., 48, 244-50, 2007
    • (2007) Invest Ophthalmol Vis Sci , vol.48 , pp. 244-250
    • Huang, M.L.1    Chen, H.Y.2    Lin, J.C.3
  • 29
    • 35348954825 scopus 로고    scopus 로고
    • Optic disk and nerve fiber layer imaging to Detect glaucoma
    • F. Badal et al., Optic Disk and Nerve Fiber Layer Imaging to Detect Glaucoma, Am. J. Ophthalmol, 144(5), 724-732, 2007
    • (2007) Am. J. Ophthalmol , vol.144 , Issue.5 , pp. 724-732
    • Badal, F.1
  • 30
    • 84873503988 scopus 로고    scopus 로고
    • An approach to predict the risk of glaucoma Development by integrating different attribute data
    • Y. Tokuda et al, An approach to predict the risk of glaucoma Development by integrating different attribute data, SpringerPlus, 1-41, 2012
    • (2012) SpringerPlus , pp. 1-41
    • Tokuda, Y.1
  • 31
    • 0036846761 scopus 로고    scopus 로고
    • Comparing neural network and linear discriminant functions for Glaucoma Detection Using Confocal Scanning Laser Ophthalmoscopy of the Optic Disc
    • Nov
    • C. Bowd, et al , Comparing Neural Network and Linear Discriminant Functions for Glaucoma Detection Using Confocal Scanning Laser Ophthalmoscopy of the Optic Disc, Investigative Ophthalmology and Visual Science, Vol 43(11), 3444-54, Nov, 2002
    • (2002) Investigative Ophthalmology and Visual Science , vol.43 , Issue.11 , pp. 3444-3454
    • Bowd, C.1
  • 32
    • 33644673457 scopus 로고    scopus 로고
    • Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography
    • PMID 16249489
    • M.-L. Huang , H.-Y. Chen, Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography, Invest Ophthalmol Vis Sci46(11), 4121-9, PMID 16249489, 2005
    • (2005) Invest Ophthalmol Vis Sci , vol.46 , Issue.11 , pp. 4121-4129
    • Huang, M.-L.1    Chen, H.-Y.2
  • 33
    • 0029866233 scopus 로고    scopus 로고
    • Neural networks to iDentify glaucoma with structural and functional measurements
    • L. Brigatti , D. hoffiman , J. carprioli, Neural networks to iDentify glaucoma with structural and functional measurements, Am J Ophthalmol, 121(5), 511-21, 1996
    • (1996) Am J Ophthalmol , vol.121 , Issue.5 , pp. 511-521
    • Brigatti, L.1    Hoffiman, D.2    Carprioli, J.3
  • 34
    • 0028135264 scopus 로고
    • Interpretation of automated perimetry for glaucoma by neural network
    • M. H. Goldbaum , P. A. Sample , H. White , et al., Interpretation of automated perimetry for glaucoma by neural network, Invest Ophthalmol Vis Sci., 35:3362-3373, 1994
    • (1994) Invest Ophthalmol Vis Sci , vol.35 , pp. 3362-3373
    • Goldbaum, M.H.1    Sample, P.A.2    White, H.3
  • 35
    • 0011187879 scopus 로고    scopus 로고
    • Bunke, H., KanDel, A.(Eds), Hybrid Methods in Pattern Recognition. World Scientific
    • T. K. Ho, Multiple classifier combination: lessons and next steps. In Bunke, H., KanDel, A.(Eds), Hybrid Methods in Pattern Recognition. World Scientific, pp. 171-198, 2002
    • (2002) Multiple Classifier Combination: Lessons and Next Steps , pp. 171-198
    • Ho, T.K.1
  • 37
    • 0026565530 scopus 로고
    • Discrimination between normal and glaucomatous eyes
    • J. Caprioli, Discrimination between normal and glaucomatous eyes, Invest opthalmolvis sci., , 33, 153-159, 1992
    • (1992) Invest Opthalmolvis Sci , vol.33 , pp. 153-159
    • Caprioli, J.1
  • 38
    • 33746459739 scopus 로고    scopus 로고
    • Improving glaucoma diagnosis by combination of perimetry and HRT measurements
    • C. Y. Mardin , A. Peter , Improving glaucoma diagnosis by combination of perimetry and HRT measurements, J Glaucoma, 15, 299-305, 2006
    • (2006) J Glaucoma , vol.15 , pp. 299-305
    • Mardin, C.Y.1    Peter, A.2
  • 39
    • 33747873588 scopus 로고    scopus 로고
    • Combining structural and functional testing for Detection of glaucoma
    • N. N. Shah, Combining structural and functional testing for Detection of glaucoma, opthalmology, 2006, 113, 1593-1602, 2006
    • (2006) Opthalmology , vol.113 , pp. 1593-1602
    • Shah, N.N.1
  • 40
    • 0038391397 scopus 로고    scopus 로고
    • Boosting for tumor classification with gene expression data
    • M. Dettling and P. Buehlmann, Boosting for tumor classification with gene expression data, Bioinformatics, vol.19(9), pp. 1061-1069, 2003
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1061-1069
    • Dettling, M.1    Buehlmann, P.2
  • 42
    • 22944466045 scopus 로고    scopus 로고
    • Molecular diagnosis classification, moDel selection and performance evaluation
    • F. Markowetz and R. Spang, Molecular diagnosis classification, moDel selection and performance evaluation, Meth. Inf. Med. 44, 438-443, 2005
    • (2005) Meth. Inf. Med , vol.44 , pp. 438-443
    • Markowetz, F.1    Spang, R.2
  • 43
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic generalization of on line learning and an Application to Boosting
    • Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of on line Learning and an Application to Boosting, Journal of computer and system sciences, 55, 119-139, 1997
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 44
    • 78649318549 scopus 로고    scopus 로고
    • Fundamental matrix estimation: A study of error criteria
    • M.E. Fathy, A.S. Hussein, and M.F. Tolba, "Fundamental matrix estimation: a study of error criteria, " Pattern Recognition Letters, vol. 32(2), pp. 383-391, 2011
    • (2011) Pattern Recognition Letters , vol.32 , Issue.2 , pp. 383-391
    • Fathy, M.E.1    Hussein, A.S.2    Tolba, M.F.3
  • 45
    • 60849106189 scopus 로고    scopus 로고
    • Operating characteristic curve confiDence intervals and Regions
    • Kerekes J., Receiver Operating Characteristic Curve ConfiDence Intervals and Regions. IEEE Geoscience and Remote Sensing Letters, vol 5(2), pp. 251-255, 2008
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.5 , Issue.2 , pp. 251-255
    • Receiver, K.J.1


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