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Volumn 29, Issue 16, 2008, Pages 2189-2196

Image statistics and data mining of anal intraepithelial neoplasia

Author keywords

Classification; Data mining; HIV; Image statistics; Neoplasia

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFIERS; DATA MINING; DECISION SUPPORT SYSTEMS; ERRORS; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MINING; STATISTICAL METHODS;

EID: 53949086312     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.08.008     Document Type: Article
Times cited : (13)

References (36)
  • 1
    • 34548389305 scopus 로고    scopus 로고
    • Application of artificial intelligence to the management of urological cancer
    • Abbod M.F., Catto J.W.F., Linkens D.A., and Hamdy F.C. Application of artificial intelligence to the management of urological cancer. J. Urol. 178 (2007) 1150-1156
    • (2007) J. Urol. , vol.178 , pp. 1150-1156
    • Abbod, M.F.1    Catto, J.W.F.2    Linkens, D.A.3    Hamdy, F.C.4
  • 2
    • 42549114761 scopus 로고    scopus 로고
    • Anal intraepithelial neoplasia: Correlation of grade with p16INK4a immunohistochemistry and HPV in situ hybridization
    • Bernard J.E., Butler M.O., Sandweiss L., and Weidner N. Anal intraepithelial neoplasia: Correlation of grade with p16INK4a immunohistochemistry and HPV in situ hybridization. Appl. Immunohistochem. Mol. Morphol. 16 3 (2008) 215-220
    • (2008) Appl. Immunohistochem. Mol. Morphol. , vol.16 , Issue.3 , pp. 215-220
    • Bernard, J.E.1    Butler, M.O.2    Sandweiss, L.3    Weidner, N.4
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learn. 24 2 (1996) 123-140
    • (1996) Machine Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine Learn. 45 1 (2001) 5-32
    • (2001) Machine Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 30544453087 scopus 로고    scopus 로고
    • Liver fibrosis identification based on ultrasound images captured under varied imaging protocols
    • Cao G., Shi P., and Hu B. Liver fibrosis identification based on ultrasound images captured under varied imaging protocols. J. Zhejiang Univ. Sci. 6B 11 (2005) 1107-1114
    • (2005) J. Zhejiang Univ. Sci. , vol.6 B , Issue.11 , pp. 1107-1114
    • Cao, G.1    Shi, P.2    Hu, B.3
  • 6
    • 38149007972 scopus 로고    scopus 로고
    • Comparison of linear array and line blot assay for detection of human papillomavirus and diagnosis of cervical precancer and cancer in the atypical squamous cell of undetermined significance and low-grade squamous intraepithelial lesion triage study
    • Castle P.E., Gravitt P.E., Solomon D., Wheeler C.M., and Schiffman M. Comparison of linear array and line blot assay for detection of human papillomavirus and diagnosis of cervical precancer and cancer in the atypical squamous cell of undetermined significance and low-grade squamous intraepithelial lesion triage study. J. Clin. Microbiol. 46 1 (2008) 109-117
    • (2008) J. Clin. Microbiol. , vol.46 , Issue.1 , pp. 109-117
    • Castle, P.E.1    Gravitt, P.E.2    Solomon, D.3    Wheeler, C.M.4    Schiffman, M.5
  • 7
    • 20444366905 scopus 로고    scopus 로고
    • Image mining for investigative pathology using optimized feature extraction and data fusion
    • Chen W., Meer P., Georgescu B., He W., Goodell L.A., and Foran D.J. Image mining for investigative pathology using optimized feature extraction and data fusion. Comput. Method Prog. Biol. 79 (2005) 59-72
    • (2005) Comput. Method Prog. Biol. , vol.79 , pp. 59-72
    • Chen, W.1    Meer, P.2    Georgescu, B.3    He, W.4    Goodell, L.A.5    Foran, D.J.6
  • 8
    • 0030170250 scopus 로고    scopus 로고
    • Analysis of mammographic microcalcifications using gray-level image structure features
    • Dhawan A.P., Chitre Y., KaiserBonasso C., and Moskowitz M. Analysis of mammographic microcalcifications using gray-level image structure features. IEEE Trans. Med. Imaging 15 3 (1996) 246-259
    • (1996) IEEE Trans. Med. Imaging , vol.15 , Issue.3 , pp. 246-259
    • Dhawan, A.P.1    Chitre, Y.2    KaiserBonasso, C.3    Moskowitz, M.4
  • 9
    • 0034032598 scopus 로고    scopus 로고
    • Cytologic and histologic diagnosis and significance of controversial squamous lesions of the uterine cervix
    • Duggan M.A. Cytologic and histologic diagnosis and significance of controversial squamous lesions of the uterine cervix. Mod. Pathol. 13 3 (2000) 252-260
    • (2000) Mod. Pathol. , vol.13 , Issue.3 , pp. 252-260
    • Duggan, M.A.1
  • 12
    • 0037541074 scopus 로고    scopus 로고
    • Diagnostic imaging of melanocytic skin
    • Gerger A., and Smolle J. Diagnostic imaging of melanocytic skin. J. Cutan. Pathol. 30 (2003) 247-252
    • (2003) J. Cutan. Pathol. , vol.30 , pp. 247-252
    • Gerger, A.1    Smolle, J.2
  • 13
    • 0037951749 scopus 로고    scopus 로고
    • Automated epiluminescence microscopy - Tissue counter analysis using CART and 1-NN in the diagnosis of Melanoma
    • Gerger A., Stolz W., Pompl R., and Smolle J. Automated epiluminescence microscopy - Tissue counter analysis using CART and 1-NN in the diagnosis of Melanoma. Skin Res. Technol. 9 (2003) 105-110
    • (2003) Skin Res. Technol. , vol.9 , pp. 105-110
    • Gerger, A.1    Stolz, W.2    Pompl, R.3    Smolle, J.4
  • 15
    • 0035528674 scopus 로고    scopus 로고
    • Idiot's Bayes - Not so stupid after all?
    • Hand D.J., and Yu K.M. Idiot's Bayes - Not so stupid after all?. Internat. Statist. Rev. 69 (2001) 385-398
    • (2001) Internat. Statist. Rev. , vol.69 , pp. 385-398
    • Hand, D.J.1    Yu, K.M.2
  • 17
    • 53949108354 scopus 로고    scopus 로고
    • Kira, K., Rendell, L.A., 1992. A practical approach to feature selection. In: Proc. of the Ninth Internat. Conf. on Machine Learning, pp. 249-256.
    • Kira, K., Rendell, L.A., 1992. A practical approach to feature selection. In: Proc. of the Ninth Internat. Conf. on Machine Learning, pp. 249-256.
  • 18
    • 0035907069 scopus 로고    scopus 로고
    • Diagnosing cancer in vivo
    • Koenig F., Knittel J., and Stepp H. Diagnosing cancer in vivo. Science 292 (2001) 1401-1403
    • (2001) Science , vol.292 , pp. 1401-1403
    • Koenig, F.1    Knittel, J.2    Stepp, H.3
  • 19
    • 84948977233 scopus 로고    scopus 로고
    • Kohavi, R., 1995. The power of decision tables. In: Proc. of the Eighth European Conf. on Machine Learning, pp. 174-189.
    • Kohavi, R., 1995. The power of decision tables. In: Proc. of the Eighth European Conf. on Machine Learning, pp. 174-189.
  • 20
    • 0028920449 scopus 로고
    • Automated grading of astrocytomas based on histomorphometric analysis of Ki-67 and Feulgen stained paraffin sections. Classification results of neuronal networks and discriminant analysis
    • Kolles H., Von Wangenheim A., Vince G.H., Niedermayer I., and Feiden W. Automated grading of astrocytomas based on histomorphometric analysis of Ki-67 and Feulgen stained paraffin sections. Classification results of neuronal networks and discriminant analysis. Anal. Cell. Pathol. 8 (1995) 101-116
    • (1995) Anal. Cell. Pathol. , vol.8 , pp. 101-116
    • Kolles, H.1    Von Wangenheim, A.2    Vince, G.H.3    Niedermayer, I.4    Feiden, W.5
  • 21
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • Kononenko I. Machine learning for medical diagnosis: History, state of the art and perspective. Artif. Intell. Med. 23 (2001) 89-109
    • (2001) Artif. Intell. Med. , vol.23 , pp. 89-109
    • Kononenko, I.1
  • 22
    • 0030735972 scopus 로고    scopus 로고
    • Overcoming the myopia of inductive learning algorithms with RELIEFF
    • Kononenko I., Simec E., and RobnikSikonja M. Overcoming the myopia of inductive learning algorithms with RELIEFF. Appl. Intell. 7 (1997) 39-55
    • (1997) Appl. Intell. , vol.7 , pp. 39-55
    • Kononenko, I.1    Simec, E.2    RobnikSikonja, M.3
  • 23
    • 0035041653 scopus 로고    scopus 로고
    • Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images
    • Kuo W.J., Chang R.F., Chen D.R., and Lee C.C. Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images. Breast Cancer Res. Tr. 66 (2001) 51-57
    • (2001) Breast Cancer Res. Tr. , vol.66 , pp. 51-57
    • Kuo, W.J.1    Chang, R.F.2    Chen, D.R.3    Lee, C.C.4
  • 24
    • 4344681549 scopus 로고    scopus 로고
    • Review: Histomorphometry of brain tumors
    • Nafe R., and Schlote W. Review: Histomorphometry of brain tumors. Neuropathol. Appl. Neurobiol. 30 (2004) 315-328
    • (2004) Neuropathol. Appl. Neurobiol. , vol.30 , pp. 315-328
    • Nafe, R.1    Schlote, W.2
  • 25
    • 5744228427 scopus 로고    scopus 로고
    • Multivariate image analysis in biomedicine
    • Nattkemper T.W. Multivariate image analysis in biomedicine. J. Biomed. Inform. 37 (2004) 380-391
    • (2004) J. Biomed. Inform. , vol.37 , pp. 380-391
    • Nattkemper, T.W.1
  • 26
    • 33745683812 scopus 로고    scopus 로고
    • Prognostic value of adaptive textural features - The effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area
    • Nielsen B., and Danielsen H.E. Prognostic value of adaptive textural features - The effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area. Cell. Oncol. 28 3 (2006) 85-95
    • (2006) Cell. Oncol. , vol.28 , Issue.3 , pp. 85-95
    • Nielsen, B.1    Danielsen, H.E.2
  • 27
    • 36148970074 scopus 로고    scopus 로고
    • Morphometric analysis of nucleus and nucleolar organizer regions (NORs) in tongue squamous cell carcinoma (SCC)
    • Padovani Jr. J.A., Monteiro R., Zan T., Azoubel R., De Santi D., Taboga S., and Martins A. Morphometric analysis of nucleus and nucleolar organizer regions (NORs) in tongue squamous cell carcinoma (SCC). Internat. J. Morphol. 25 3 (2007) 493-499
    • (2007) Internat. J. Morphol. , vol.25 , Issue.3 , pp. 493-499
    • Padovani Jr., J.A.1    Monteiro, R.2    Zan, T.3    Azoubel, R.4    De Santi, D.5    Taboga, S.6    Martins, A.7
  • 29
    • 33750912820 scopus 로고    scopus 로고
    • Large-scale computations on histology images reveal grade differentiating parameters for breast cancer
    • 10.1186/1471-2342-6-14
    • Petushi S., Garcia F.U., Haber M.M., Katsinis C., and Tozeren A. Large-scale computations on histology images reveal grade differentiating parameters for breast cancer. BMC Med. Imaging 6 14 (2006) 10.1186/1471-2342-6-14
    • (2006) BMC Med. Imaging , vol.6 , Issue.14
    • Petushi, S.1    Garcia, F.U.2    Haber, M.M.3    Katsinis, C.4    Tozeren, A.5
  • 31
    • 0036755111 scopus 로고    scopus 로고
    • Bayesian learning for cardiac SPECT image interpretation
    • Sacha J.P., Goodenday L.S., and Cios K.J. Bayesian learning for cardiac SPECT image interpretation. Artif. Intell. Med. 26 (2002) 109-143
    • (2002) Artif. Intell. Med. , vol.26 , pp. 109-143
    • Sacha, J.P.1    Goodenday, L.S.2    Cios, K.J.3
  • 32
    • 0036428540 scopus 로고    scopus 로고
    • Tissue counter analysis of histologic sections of melanoma: Influence of mask size and shape, feature selection, statistical methods and tissue preparation
    • Smolle J., Gerger A., Weger W., Kutzner H., and Tronnier M. Tissue counter analysis of histologic sections of melanoma: Influence of mask size and shape, feature selection, statistical methods and tissue preparation. Anal. Cell. Pathol. 24 2-3 (2002) 59-67
    • (2002) Anal. Cell. Pathol. , vol.24 , Issue.2-3 , pp. 59-67
    • Smolle, J.1    Gerger, A.2    Weger, W.3    Kutzner, H.4    Tronnier, M.5
  • 33
    • 0038131972 scopus 로고    scopus 로고
    • Tissue counter analysis of tissue components in skin biopsies evaluation using CART (Classification and Regression Trees)
    • Smolle J., and Gerger A. Tissue counter analysis of tissue components in skin biopsies evaluation using CART (Classification and Regression Trees). Amer. J. Dermatopathol. 25 3 (2003) 215-222
    • (2003) Amer. J. Dermatopathol. , vol.25 , Issue.3 , pp. 215-222
    • Smolle, J.1    Gerger, A.2
  • 34
    • 0033779908 scopus 로고    scopus 로고
    • Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma
    • Weyn B., Tjalma W., Van de Wouwer G., Van Daele A., Scheunders P., Jacob W., and Van Marck E. Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma. Anal. Quant. Cytol. Histol. 22 5 (2000) 373-382
    • (2000) Anal. Quant. Cytol. Histol. , vol.22 , Issue.5 , pp. 373-382
    • Weyn, B.1    Tjalma, W.2    Van de Wouwer, G.3    Van Daele, A.4    Scheunders, P.5    Jacob, W.6    Van Marck, E.7
  • 35
    • 0037212266 scopus 로고    scopus 로고
    • Tissue counter analysis of benign common nevi and malignat melanoma
    • Wiltgen M., Gerger A., and Smolle J. Tissue counter analysis of benign common nevi and malignat melanoma. Internat. J. Med. Inform. 69 (2003) 17-28
    • (2003) Internat. J. Med. Inform. , vol.69 , pp. 17-28
    • Wiltgen, M.1    Gerger, A.2    Smolle, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.