PMID: 12775984May 31, 2003Paper

Tissue counter analysis of tissue components in skin biopsies: evaluation using CART (Classification and Regression Trees)

The American Journal of Dermatopathology
Josef Smolle, Armin Gerger

Abstract

In tissue counter analysis, complex histologic sections are overlaid with regularly distributed measuring masks of equal size and shape, and the digital contents of each mask (or tissue element) are evaluated by gray level, color, and texture parameters. In this study, the feasibility of tissue counter analysis and classification and regression trees for the quantitative evaluation of skin biopsies was assessed. From 100 randomly selected skin biopsies, a learning set of tissue elements was created, differentiating between cellular elements, collagenous elements of the reticular dermis, fatty elements and other tissue components. Classification and regression trees based on the learning set were used to automatically classify tissue elements in samples of normal skin, benign common nevi, malignant melanoma, molluscum contagiosum, seborrheic keratosis, epidermoid cysts, basal cell carcinoma, and scleroderma. The procedure yielded reproducible assessments of the relative amounts of tissue components in various diagnostic groups. Furthermore, a reliable diagnostic separation of molluscum contagiosum versus normal skin and epidermal cysts, benign common nevi versus malignant melanoma, and seborrheic keratosis versus basal cell carc...Continue Reading

References

Oct 1, 1990·The American Journal of Dermatopathology·G LeitingerH Kerl
Jun 29, 2001·Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·Josef Smolle

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Citations

Feb 17, 2009·International Journal of Data Mining and Bioinformatics·I R KönigA Ziegler
Feb 3, 2005·The Journal of Pathology·M L NyströmJ F Marshall
Dec 20, 2008·Clinics in Dermatology·J Andrew CarlsonAndrze J Slominski

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