Digital Knowledge and Diagnostic Information

References

• Bartels PH, Bibbo M, Graham A et al: Image understanding system for histopathology. Anal Cell Pathol 1:195–214, 1989
   PubMedGoogle Scholar
• Bartels P: Digital knowledge in diagnostic pathology. J Clin Path 53:31–37, 2000
   PubMed Web of Science ®Google Scholar
• Bartels PH, Thompson D, Weber JE: Construction of the knowledge file for an image understanding system. Pathol Res Pract 188:396–404, 1992
   PubMed Web of Science ®Google Scholar
• Jackson P: Introduction to Expert Systems: Addison Wesley, Wokingham, UK, 1986
   Google Scholar
• Thompson D, Bartels PH, Bartels HG, Montironi R: Image segmentation of cribriform gland tissue. Anal Quant Cytol Histol. 17:314–322, 1995
   PubMed Web of Science ®Google Scholar
• Hamilton PW, Bartels PH, Montironi R et al: Automated his-tometry in quantitative prostate pathology. Anal Quant Histol Pathol 20:443–460, 1998
   PubMed Web of Science ®Google Scholar
• Bostwick DG, Brawer MK: Prostatic intraepithelial neoplasia and early invasion in prostrate cancer. Cancer 59:788–794, 1987
   PubMed Web of Science ®Google Scholar
• Bartels PH, Gahm T, Thompson D: Automated microscopy in diagnostic histopathology: from image processing to automated reasoning, Intl J Imag Syst Technol 8:214–223, 1997
   Web of Science ®Google Scholar
• Bartels PH, Montironi R, Thompson D et al: Statistical histometry of the basal cell/secretory cell bilayer in prostatic intraepithelial neoplasia. Anal Quant Cytol Histol 20:381–388, 1998
   PubMed Web of Science ®Google Scholar
• Bartels PH, Bahr GF, Wied GL: Cell recognition from line scan transition probability profiles. Acta Cytol 13:210–217, 1969
   PubMed Web of Science ®Google Scholar
• Galloway M: Texture analysis using gray level run lengths. Comp Graph Image Proc 4:172–179, 1975
   Google Scholar
• Doudkine A, Macaulay C, Poulin N, Palcic B: Nuclear texture measurements in image cytometry. Pathologica 87:286–299, 1995
   PubMedGoogle Scholar
• Young T, Verbeek PW, Mayall B: Characterization of chro-matin distributions in cell nuclei, Cytotnetry 7:467–474, 1986
   PubMedGoogle Scholar
• Bartels PH, Montironi R, Hamilton PW et al: Nuclear chro-matin texture in prostatic lesions. I. PIN and adenocarcinoma. Anal Quant Cytol Histol 20:389–396, 1998
   PubMed Web of Science ®Google Scholar
• Bostwick DG: Target populations and strategies for chemo-prevention trials of prostate cancer. J Cell Biochem Supp 19: 191–196, 1994
   Google Scholar
• da Silva V, Montironi R, Thompson D et al: Chromatin texture in high grade prostatic intraepithelial neoplasia and early in-vasive carcinoma. Anal Quant Cytol Histol 21:113–120, 1999
   PubMed Web of Science ®Google Scholar
• Bartels PH, da Silva VD, Montironi R et al: Chromatin texture signatures in nuclei from prostate lesions. Anal Quant Cytol Histol 20:407–416, 1998
   PubMed Web of Science ®Google Scholar
• Mombello A, Mariuzzi L, Thompson D et al: Analysis of nuclei specific chromatin signatures in ductal carcinoma in situ (DCIS). In XXIII International Congress of the Interna-tional Academy of Pathology, Nice, France, Oct 18–23 1998
   Google Scholar
• Wied GL, Bartels PH, Bibbo M: Cytophotometric markers for uterine cancer in intermediate cells. Anal Quant Cytol Histol 2:257–263, 1980
   Web of Science ®Google Scholar
• Bibbo M, Bartels PH, Sychra JJ, Wied GL: Chromatin ap-pearance in intermediate cells from patients with uterine can-cer. Acta Cytol 25:23–28, 1981
   PubMed Web of Science ®Google Scholar
• Vooijs PG, Oud PS, Zahniser DJ et al: Chromatin measure-ments in Feulgen stained intermediate cells from normal and abnormal cervical smears. Anal Quant Cytol Histol 4:154, 1982
   Web of Science ®Google Scholar
• Montag AG, Bartels PH, Lerma-Puertas E et al: Karyometric marker features in tissue adjacent to in situ cervical carcino-mas. Anal Quant Cytol Histol 11:275–280, 1989
   PubMed Web of Science ®Google Scholar
• Bibbo M, Montag AG, Lerma-Puertas E et al: Karyometric marker features in tissue adjacent to invasive cervical carci-nomas. Anal Quant Cytol Histol 11:281–285, 1989
   PubMed Web of Science ®Google Scholar
• Bibbo M, Bartels PH, Galera-Davidson H et al: Markers for malignancy in the nuclear texture of histologically normal tissue from patients with thyroid tumors. Anal Quant Cytol 8:168–176, 1986
   Google Scholar
• Sherman AB, Koss LG: Morphometry of benign urothelial cells in the presence of cancer. Anal Quant Cytol Histol 5:221, 1983
   Web of Science ®Google Scholar
• MacAulay C, Lam S, Payner PW et al: Malignancy associated changes in bronchial epithelial cells in biopsy specimens. Anal Quant Cytol Histol 17:55–71, 1995
   PubMed Web of Science ®Google Scholar
• Susnik B, Worth A, LeRiche J, Palcic G: Malignancy associ-ated changes in the breast. Changes in chromatin distribution in epithelial cells in normal appearing tissue adjacent to can-cer. Anal Quant Cytol Histol 17:62–68, 1995
   PubMed Web of Science ®Google Scholar
• Suen CY: N-gram statistics for natural language understand-ing and text processing. IEEE Trans on Pattern Analysis and Machine Intelligence PAMI-1. 2: 164–172, 1979
   Google Scholar
• Kolodner J: Case-based Reasoning. Morgan Kaufman, San Mateo, CA, 1993, p 668
   Google Scholar
• Anand SS, Smith AE, Hamilton P et al: An evaluation of intelligent prognostic systems for colorectal cancer. Al in Med 15:193–214, 1999
   Web of Science ®Google Scholar