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Diagnostic of gastric pre-cancer with complexity analysis
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Paper Abstract

Gastric cancer often appears without preliminary symptoms that could be detected and recognized at early stages. Its diagnostic is sometime provided based on photodynamic techniques, although the latter are restricted by quite poor tumor selectivity. Due to this, additional experimental and data processing tools are required to improve diagnostic abilities. In this study we analyze how complexity measures can detect early changes in the normal gastric microcirculation. We apply a recently developed approach based on the multiscale entropy and show that the estimated measures of SampEn related to distinct ranges of scales enable the detection of early gastric cancer that is in accordance with the results of histological analysis.

Paper Details

Date Published: 3 June 2019
PDF: 5 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670K (3 June 2019); doi: 10.1117/12.2522421
Show Author Affiliations
Alexey Pavlov, Saratov State Univ. (Russian Federation)
Ekaterina Borisova, Saratov State Univ. (Russian Federation)
Institute of Electronics (Bulgaria)
Olga Pavlova, Saratov State Univ. (Russian Federation)
Ilana Agranovich, Saratov State Univ. (Russian Federation)
Alexander Khorovodov, Saratov State Univ. (Russian Federation)
Andrey Terskov, Saratov State Univ. (Russian Federation)
Aysel Mamedova, Saratov State Univ. (Russian Federation)
Maria Klimova, Saratov State Univ. (Russian Federation)
Oxana Semyachkina-Glushkovskaya, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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