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Approach to diagnostic image analysis of melanocytic tumors *
Author(s) -
Smolle J.,
HofmannWellenhof R.,
Soyer H.P.
Publication year - 1995
Publication title -
journal of cutaneous pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 75
eISSN - 1600-0560
pISSN - 0303-6987
DOI - 10.1111/j.1600-0560.1995.tb01394.x
Subject(s) - dermatopathology , pathology , stereology , digital image analysis , medicine , texture (cosmology) , computer science , artificial intelligence , image (mathematics) , computer vision
Numerous attempts have been made to apply image analysis in dermatopathology. The technics used comprise measurement of nuclear size, shape, chromatin content, and texture, evaluation of immunohistological slides, assessment of proliferation, pattern analysis, and tumor volume estimation. For commonly accepted routine use, however, image analysis research has to be extended to large numbers of cases, using straightforward and reproducible measuring procedures, and to the development of ready‐to‐use equipment for specific tasks. In this way, image analysis in dermatopathology might supply useful diagnostic tools in addition to conventional microscopy, and may increase our understanding of morphology as a whole.