Tissue counter analysis of benign common nevi and malignant melanoma

International Journal of Medical Informatics

Volumn 69, Issue 1, 2003, Pages 17-28

  Wiltgen, Marco ^a   Gerger, A ^a   Smolle, J ^a  

^a UNIVERSITY OF GRAZ   (Austria)

Author keywords

Benign common nevi; Computer assisted diagnosis; Malignant melanoma; Medical image processing; Tissue counter analysis

Indexed keywords

IMAGING TECHNIQUES; MICROSCOPIC EXAMINATION; REGRESSION ANALYSIS; SKIN; TREES (MATHEMATICS); TUMORS;

DIGITAL IMAGES;

MEDICAL COMPUTING;

ARTICLE; CANCER TISSUE; CLASSIFICATION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; HISTOGRAM; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MELANOMA; MICROSCOPY; PRIORITY JOURNAL; REGRESSION ANALYSIS; SKIN;

DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; NEVUS, PIGMENTED; PHOTOGRAPHY; REGRESSION ANALYSIS; SKIN NEOPLASMS;

EID: 0037212266     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(02)00049-7     Document Type: Article

References (7)

1. Harms H., Aus H.M., Haucke M., Gunzer U. Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics. Cytometry. 7:1992;522-531.
2. Stolz W., Vogth T., Landthaler M., Hempfer S., Bingler P., Abmayr W. Differentiation between maligant melanomas and benign melanocytic nevi by computerized DNA cytometry of imprint specimens. J. Cutaneous Pathol. 21:1994;7-15.
3. Hamilton P.W., Bartels P.H., Montironi R., et al. Automated histometry in quantitative prostate pathology. Anal. Quant. Cytol. Histol. 20:1998;443-460.
4. Smolle J. Computer recognition of skin structures using discriminant and cluster analysis. Skin Res. Technol. 6:2000;58-63.
5. Smolle J. Diagnostic assessment of cutaneous melanoma and common nevi using tissue counter analysis. Anal. Quant. Cytol. Histol. 22:(4):2000;299-306.
6. Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and Regression Trees. 1993;Chapman & Hall, New York, London.
7. M. Wiltgen, Digitale Bildverarbeitung in der Medizin. Grundlagen der Verarbeitung bildhafter Informationen für die Interpretation und Kommunikation in der Medizin Shaker Verlag, Aachen, 1999.