Improving the prognostic value of histopathological grading and clinical staging in renal cell carcinomas by means of computer‐assisted microscopy
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C Decaestecker | I Salmon | J L Pasteels | R Kiss | R. Kiss | C. Decaestecker | I. Salmon | J. Pasteels | T. Roumeguère | Christophe Moreno | A Danguy | R van Velthoven | T. Roumeguère | E. Wespes | A. Danguy | R. V. van Velthoven | A. Peltier | C François | A Peltier | C. François | C. Moreno | O. De Lathouwer | C Moreno | O De Lathouwer | T Roumeguere | E Wespes | Jean‐Lambert Pasteels | Oliver de Lathouwer | Alexandre Peltier | André Danguy | Eric Wespes | Roland van Velthoven | A. Peltier
[1] C Decaestecker,et al. Classification strategies for the grading of renal cell carcinomas, based on nuclear morphometry and densitometry , 1997, The Journal of pathology.
[2] H. Sugao,et al. Flow cytometric analysis of nuclear DNA content of renal cell carcinoma correlated with histologic and clinical features , 1993, Cancer.
[3] C Decaestecker,et al. Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathology. , 1997, Laboratory investigation; a journal of technical methods and pathology.
[4] T. Strohmeyer,et al. Classic and modern prognostic indicators in renal cell carcinoma. Review of the literature. , 1991, Urologia internationalis.
[5] The contribution of image cytometry and artificial intelligence-related methods of numerical data analysis for adipose tumor histopathologic classification. , 1996, Laboratory investigation; a journal of technical methods and pathology.
[6] C Decaestecker,et al. Methodological aspects of using decision trees to characterise leiomyomatous tumors. , 1996, Cytometry.
[7] D. Grignon,et al. DNA flow cytometry as a predictor of outcome of stage I renal cell carcinoma , 1989, Cancer.
[8] J. Schalken,et al. Prognostic value of karyometric and clinical characteristics in renal cell carcinoma quantitative assessment of tumor heterogeneity , 1993, Cancer.
[9] C Decaestecker,et al. THE USE OF THE DECISION TREE TECHNIQUE AND IMAGE CYTOMETRY TO CHARACTERIZE AGGRESSIVENESS IN WORLD HEALTH ORGANIZATION (WHO) GRADE II SUPERFICIAL TRANSITIONAL CELL CARCINOMAS OF THE BLADDER , 1996, The Journal of pathology.
[10] B. Loftus,et al. A comparative analysis of grading systems in renal adenocarcinoma , 1994, Histopathology.
[11] R. Kiss,et al. Characterization of factors in routine laboratory protocols that significantly influence the Feulgen reaction. , 1993, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[12] M Petein,et al. Computer‐assisted chromatin texture characterization of Feulgen‐stained nuclei in a series of 331 transitional bladder cell carcinomas , 1994, The Journal of pathology.
[13] J. Baak,et al. Nuclear morphometry as an important prognostic factor in stage I renal cell carcinoma , 1986, Cancer.
[14] P. Bringuier,et al. DNA ploidy status and DNA content instability within single tumors in renal cell carcinoma. , 1993, Cytometry.
[15] Mary M. Galloway,et al. Texture analysis using gray level run lengths , 1974 .
[16] S. Fuhrman,et al. Prognostic significance of morphologic parameters in renal cell carcinoma , 1982, The American journal of surgical pathology.
[17] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[18] J. O'connor,et al. Value of deoxyribonucleic acid ploidy and nuclear morphometry for prediction of disease progression in renal cell carcinoma. , 1996, The Journal of urology.