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Statistical structure of skin derma Mueller matrix images in the process of cancer changes
This research is aimed to investigate the reliability of Mueller-matrix differentiation of birefringence change of optically thick layers of biological tissues at the early stages of the change in their physiological state. This is performed by measuring the set of the skewness and the kurtosis valu...
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Published in: | Optical memory & neural networks 2011-06, Vol.20 (2), p.145-154 |
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cites | cdi_FETCH-LOGICAL-c203X-566262fd16c7a6fc2139ffa770f0bb226ddc8ad189a0192534cbce7fc837d25b3 |
container_end_page | 154 |
container_issue | 2 |
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container_title | Optical memory & neural networks |
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creator | Ushenko, Yu. A. Dubolazov, O. V. Karachevtsev, A. O. |
description | This research is aimed to investigate the reliability of Mueller-matrix differentiation of birefringence change of optically thick layers of biological tissues at the early stages of the change in their physiological state. This is performed by measuring the set of the skewness and the kurtosis values of Mueller matrix image of the phase element M
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in various points of the object under investigation. |
doi_str_mv | 10.3103/S1060992X1102010X |
format | article |
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subjects | Complexity Computer Science Information Storage and Retrieval |
title | Statistical structure of skin derma Mueller matrix images in the process of cancer changes |
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