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Volumn , Issue , 2009, Pages 175-177

Classifying digital mammogram masses using univariate ANOVA discriminant analysis

Author keywords

Classifying as benign or malignant; Digital mammogram; Discriminant analysis; Shape properties; Univariate ANOVA

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFYING AS BENIGN OR MALIGNANT; DATABASE IMAGES; DIGITAL MAMMOGRAMS; MASS REGIONS; SHAPE PROPERTY; UNIVARIATE; UNIVARIATE ANALYSIS;

EID: 73849122166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ARTCom.2009.33     Document Type: Conference Paper
Times cited : (6)

References (11)
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    • Mehul P. Sampat, Alan C., Bovik B., Mia K. Markey, Classification of mammographic lesions into BI-RADS shape categories using the Beamlet Trransform, Medical Imaging: Image Processing, Proc. of the SPIIE, 5747, pp. 16-25, (2005)
    • Mehul P. Sampat, Alan C., Bovik B., Mia K. Markey," Classification of mammographic lesions into BI-RADS shape categories using the Beamlet Trransform", Medical Imaging: Image Processing, Proc. of the SPIIE, vol. 5747, pp. 16-25, (2005)
  • 7
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    • Elsevier
    • Zhang P., Verma B., Kumar K," Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection", Pattern Recogn., Elsevier, Vol. 26, pp. 909-919. (2005)
    • (2005) Pattern Recogn , vol.26 , pp. 909-919
    • Zhang, P.1    Verma, B.2    Kumar, K.3
  • 8
    • 9444251676 scopus 로고    scopus 로고
    • Data Mining with Decision Trees and Neural Networks for Calcification Detection in Mammograms
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    • Beatriz A. Flores, Jesus A. Gonzalez," Data Mining with Decision Trees and Neural Networks for Calcification Detection in Mammograms", In: Third Mexican International Conference on AI, Proceedings -LNCS, Springer, pp. 232-241,(2004)
    • (2004) LNCS , pp. 232-241
    • Flores, B.A.1    Gonzalez, J.A.2
  • 9
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    • Sun Y., Babbs C., Delp E., Normal Mammogram Classification Based on Regional Analysis, In:Proc. of the IEEE Midwest Symposium on Circuits and Systems, 45, pp. 375-378, (2002).
    • Sun Y., Babbs C., Delp E., "Normal Mammogram Classification Based on Regional Analysis", In:Proc. of the IEEE Midwest Symposium on Circuits and Systems, Vol 45, pp. 375-378, (2002).
  • 10
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    • Leonardo de O. Martins, Alcione M. dos Santos, Arist́ofanes C. Silva1 and Anselmo C. Paiva1, Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images, Proceedings of the Ninth Brazilian Symposium on Neural Networks (SBRN'06), IEEE, pp. 24-29 (2006)
    • Leonardo de O. Martins, Alcione M. dos Santos, Arist́ofanes C. Silva1 and Anselmo C. Paiva1, "Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images", Proceedings of the Ninth Brazilian Symposium on Neural Networks (SBRN'06), IEEE, pp. 24-29 (2006)
  • 11
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    • Chris Rose, Daniele Turi, Alan Williams, Katy Wolstencroft, Chris J. Taylor, Web Services for the DDSM and Digital Mammography Research, pp. 376-383 (2003).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.