Paper
1 November 1990 Subvisual morphological properties of cells and tissues
Gunter Haroske, Klaus-Dietmar Kunze
Author Affiliations +
Proceedings Volume 1357, Medtech '89: Medical Imaging; (1990) https://doi.org/10.1117/12.23910
Event: Medtech '89: Medical Imaging, 1990, Campinas, Brazil
Abstract
With the development and the increasing use of quantitative morphological techniques the concept of subvisual morphological properties has become the main topic of quantitative morphology in medicine especially in tumour pathology. Subvisual properties of cells and tissues summarize all that structural information of cells and tissues being present in a histological or cytological image but not being to recognize without special tools. As to extract that information the visual perception (also my means of a microscope) has to be substituted by the quantitative measurement of structures. The paper deals with the basic understanding of the " subvisuality" regarding the human seeing. As it will be shown almost all of the recent topics of image analysis with important clinical and theoretical impact can be reduced to the problem of subvisual morphological properties. Roughly 80 of all information we get by our brain are optical ones. During the evolution the eye-brain-system has developed the ability for the rapid and very adaptable recognition of highly complex patterns. Recently and in the foreseeable future this ability is not to substitute by any arteficial system. An essential characteristic of the human seeing is the high propertion of experience and learning processes being involved in the information processing mentioned above. Until now we know only small pieces of this kind of information processing practically nothing is known about " learning" in human pattern recognition. But if such
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gunter Haroske and Klaus-Dietmar Kunze "Subvisual morphological properties of cells and tissues", Proc. SPIE 1357, Medtech '89: Medical Imaging, (1 November 1990); https://doi.org/10.1117/12.23910
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KEYWORDS
Tissues

Visualization

Medical imaging

Image analysis

Cancer

Information visualization

Biological research

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