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Simple fractal method of assessment of histological images for application in medical diagnostics
We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical applicatio...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017044/ https://www.ncbi.nlm.nih.gov/pubmed/21134258 http://dx.doi.org/10.1186/1753-4631-4-7 |
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author | Klonowski, Wlodzimierz Stepien, Robert Stepien, Pawel |
author_facet | Klonowski, Wlodzimierz Stepien, Robert Stepien, Pawel |
author_sort | Klonowski, Wlodzimierz |
collection | PubMed |
description | We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors. |
format | Text |
id | pubmed-3017044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30170442011-01-10 Simple fractal method of assessment of histological images for application in medical diagnostics Klonowski, Wlodzimierz Stepien, Robert Stepien, Pawel Nonlinear Biomed Phys Research We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors. BioMed Central 2010-12-06 /pmc/articles/PMC3017044/ /pubmed/21134258 http://dx.doi.org/10.1186/1753-4631-4-7 Text en Copyright ©2010 Klonowski et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Klonowski, Wlodzimierz Stepien, Robert Stepien, Pawel Simple fractal method of assessment of histological images for application in medical diagnostics |
title | Simple fractal method of assessment of histological images for application in medical diagnostics |
title_full | Simple fractal method of assessment of histological images for application in medical diagnostics |
title_fullStr | Simple fractal method of assessment of histological images for application in medical diagnostics |
title_full_unstemmed | Simple fractal method of assessment of histological images for application in medical diagnostics |
title_short | Simple fractal method of assessment of histological images for application in medical diagnostics |
title_sort | simple fractal method of assessment of histological images for application in medical diagnostics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017044/ https://www.ncbi.nlm.nih.gov/pubmed/21134258 http://dx.doi.org/10.1186/1753-4631-4-7 |
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