Construction and application of hierarchical decision tree for classification of ultrasonographic prostate images

Medical & Biological Engineering & Computing - Tập 34 Số 2 - Trang 105-109 - 1996
R.J.B. Giesen1, A.L. Huynen1, R.G. Aarnink1, Jean J.M.C.H. de la Rosette1, F.M.J. Debruyne1, Hessel Wijkstra1
1Department of Urology, Biomedical Engineering, University Hospital Nijmegen, Nijmegen, The Netherlands

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Tài liệu tham khảo

Bertermann, H., Loch, T. andGouge, J. (1989): ‘Computer-gesteuerte Ultraschallbild-Analyse,’Urologie Nephrologie,1, pp. 24–30

Brawer, M. K. (1993): ‘The diagnosis of prostatic carcinoma,’Cancer,71, pp. 899–905

Breiman, L., Friedman, J. H., Olshen, R. A. andStone, C. J. (1984): ‘Classification and regression trees’ (Wadsworth International Group, Belmont, California, USA)

Chodak, G. W., Wald, V., Parmer, E., Watanabe, H., Ohe, H., andSaitoh, M. (1986): ‘Comparison of digital examination and transcrectal ultrasonography for the diagnosis of prostatic cancer,’J. Urol.,135, pp. 951–954

Friedman, J. H. (1977): ‘A recursive partitioning decision rule for nonprametric classification,’IEEE Trans.,C-26, pp. 404–408

Gelfand, S. B., Ravishankar, C. S. andDelp, E. J. (1991): ‘An iterative growing and pruning algorithm for classification tree design,’IEEE Trans.,PAMI-13, pp. 163–174

Gerber, G. S., Goldberg, R. andChodak, G. W. (1992): ‘Local staging of prostate cancer by tumor volume, prostate-specific antigen, and transrectal ultrasound,’Urol.,40, pp. 311–316

Giesen, R. J. B. andHuynen, A. L. (1991): ‘Ultrasonographic tissue discrimination; automatic detection of prostate carinoma’. Master Thesis, Department of Computer Science, University of Twente, Enschede, The Netherlands

Giesen, R. J. B., Huynen, A. L., de la Rosette, J. J. M. C. H., Schaafsman, H. E., van Lersel, M. P., Aarnink, R. G., Debruyne, F. M. J. andWijkstra, H. (1994): ‘The reliability of computer analysis of ultrasonographic prostate images; the influence of inconsistent histopathology,’Ultrasound Med. Biol.,20, pp. 871–876

Haralick, R. M., Shanmugam, K. andDinstein, I. (1973): ‘Textural features for image classification,’IEEE Trans.,SMC-3, pp. 610–621

Henrichon, E. G. andFu, K. S. (1969): ‘A nonparametric partitioning procedure for pattern classification,’IEEE Trans.,C-18, pp. 614–624

Huynen, A. L., Giesen, R. J. B., de la Rosetta, J. J. M. C. H., Aarnink, R. G., Debruyne, F. M. J. andWijkstra, H. (1994): ‘Analysis of ultrasonographic prostate images for the detection of prostate carcinoma: the Automated Urologic Diagnostic EXpert system,’Ultrasound Med. Biol.,20, pp. 1–10

Kaye, K. W. andLightner, D. J. (1993): ‘Prostate biopsy indices: toward efficient use of transrectal ultrasound,’Urol.,41, pp. 417–420

Landeweerd, G. H., Timmers, T. andGelsema, E. S. (1983): ‘Binary tree versus single level tree classification of white blood cells,’Patt Recognit.,16, pp. 571–577

Lee, F., Torp-Pedersen, S. T. andMcLeary, R. D. (1989a): ‘Diagnosis of prostate cancer by transrectal ultrasound,’Urol. Clin. North Am.,16, pp. 663–673

Lee, F., Torp-Pedersen, S. T., Siders, D. B., Littrup, P. J. andMcLeary, R. D. (1989b): ‘Transrectal ultrasound in the diagnosis and staging of prostatic carcinoma,’Radiol. 170, pp. 609–615

Lin, Y. K. andFu, K. S. (1983): ‘Automatic classification of cervical cells using a binary tree classifier,’Patt. Recognit.,16, pp. 69–80

Loch, T., Gettys, T., Cochran, J. S., Fulgham, P. F. andBertermann, H. (1990): ‘Computer-aided image analysis in transrectal ultrasound of the prostate,’World J. Urol.,8, pp. 150–153

Mui, J. K. andFu, K. S. (1993): ‘Automatic classification of nucleated blood cells using a binary tree classifier,’IEEE Trans.,PAMI-2, pp. 429–443

Park, Y. andSklansky, J. (1990): ‘Automated design of liner tree classifiers,’Patt. Recognit.,23, pp. 1393–1412

Rounds, E. M. (1980): ‘A combined nonparametric approach to feature selection and binary tree design,’Patt. Recognit.,12, pp. 313–317

Scardino, P. T., Shinohara, K., Wheeler, T. M. andCarter, S. St. C. (1989): ‘Staging of prostate cancer; value of ultrasonography,’Urol. Clin. North Am.,16, pp. 713–734

Sethi, I. K. andSarvarayudu, G. P. R. (1982): ‘Hierarchical classifier design using mutual information,’IEEE Trans.,PAMI-4, pp. 441–445

Shinohara, K., Scardino, P. T., Carter, S. St. C. andWheeler, T. M. (1989): ‘Pathologic basis of the sonographic appearance of the normal and malignant prostate,’Urol. Clin. North., Am.,16, pp. 675–691

Wang, Q. R. andSuen, C. Y. (1987): ‘Large tree classifier with heuristic search and global training,’IEEE Trans.,PAMI-9, pp. 91–102

Wolf, J. S., Shinohara, K. andNarayan, P. (1992): ‘Staging of prostate cancer. Accuracy of transrectal ultrasound enhanced by prostate-specific antigen,’Br. J. Uroll 70, pp. 534–541

Zielhe, Th., Nauth, P., Stein, N., Seelen, V.W. andLoch, E.-G. (1985): ‘Quantitative Verfahren bei der Ultraschalldiagnostik,’Radiologe,25, pp. 468–473