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IEEE Journal of Selected Topics in Quantum Electronics, volume 27, issue 5, pages 1-8

The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus

Gric Tatjana ^{1, 2, 3}

Sokolovski Sergei ^{2, 4}

Alekseev Alexander ^{5, 6}

Mamoshin Andrian ^{7, 8}

Dunaev Andrey V. ⁷

Rafailov Edik ^{9, 10}

Hide authors affiliations Show authors affiliations: 10 affiliations

Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, Lithuania |

Aston Institute of Photonic Technologies, Aston University, Birmingham, U.K. |

Semiconductor Physics Institute, Center for Physical Sciences and Technology, Vilnius, Lithuania |

⁴

Laboratory of Optics and Dynamics of the Biological Systems, School of Physics, Novosibirsk State University, Novosibirsk, Russia |

⁵

Clinical Multidisciplinary Center for Medical Care for Mothers and Children named after Z.I. Krugloy, Orel, Russia |

⁶

Department of Anatomy, Operative Surgeons and Disaster Medicine, Orel State University, Orel, Russia |

⁷

Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia |

⁸

Orel Region Clinical Hospital, Orel, Russia |

⁹

Aston Institute of Photonic Technologies, Aston University, Birmingham, U. K. |

¹⁰

Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia |

Publication type: Journal Article

Publication date: 2021-09-01

IEEE

Journal: IEEE Journal of Selected Topics in Quantum Electronics

Quartile SCImago

Quartile WOS

Impact factor: 4.9

ISSN: 1077260X, 15584542

DOI: 10.1109/JSTQE.2021.3061960

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Atomic and Molecular Physics, and Optics

Electrical and Electronic Engineering

Abstract

Herein, we develop an enhanced and automated methodology for detection of the tumour cells in fixed biopsy samples. Metamaterial formalism (MMF) approach allowing recognition of tumour areas in tissue samples is enhanced by providing an advanced technique to digitize mouse biopsy images. Thus, a colour-based segmentation technique based on the K-means clustering method is used allowing for a precise segmentation of the cells composing the biological tissue sample. Errors occurring at the tissue digitization steps are detected by applying MMF. Doing so, we end up with the robust, fully automated approach with no needs of the human intervention, ready for the clinical applications. The proposed methodology consists of three major steps, i. e. digitization of the biopsy image, analysis of the biopsy image, modelling of the disordered metamaterial. It is worthwhile mentioning, that the technique under consideration allows for the cancer stage detection. Moreover, early stage cancer diagnosis is possible by applying MMF.

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Current Opinion in Chemical Engineering	Current Opinion in Chemical Engineering, 1, 100% Current Opinion in Chemical Engineering 1 publication, 100%
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Elsevier	Elsevier, 1, 100% Elsevier 1 publication, 100%
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Gric T. et al. The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus // IEEE Journal of Selected Topics in Quantum Electronics. 2021. Vol. 27. No. 5. pp. 1-8.

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Gric T., Sokolovski S., Alekseev A., Mamoshin A., Dunaev A. V., Rafailov E. The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus // IEEE Journal of Selected Topics in Quantum Electronics. 2021. Vol. 27. No. 5. pp. 1-8.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1109/JSTQE.2021.3061960

UR - https://doi.org/10.1109%2FJSTQE.2021.3061960

TI - The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus

T2 - IEEE Journal of Selected Topics in Quantum Electronics

AU - Gric, Tatjana

AU - Dunaev, Andrey V.

AU - Rafailov, Edik

AU - Sokolovski, Sergei

AU - Mamoshin, Andrian

AU - Alekseev, Alexander

PY - 2021

DA - 2021/09/01 00:00:00

PB - IEEE

SP - 1-8

IS - 5

VL - 27

SN - 1077-260X

SN - 1558-4542

ER -

BibTex |

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BibTex Copy

@article{2021_Gric,

author = {Tatjana Gric and Andrey V. Dunaev and Edik Rafailov and Sergei Sokolovski and Andrian Mamoshin and Alexander Alekseev},

title = {The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus},

journal = {IEEE Journal of Selected Topics in Quantum Electronics},

year = {2021},

volume = {27},

publisher = {IEEE},

month = {sep},

url = {https://doi.org/10.1109%2FJSTQE.2021.3061960},

number = {5},

pages = {1--8},

doi = {10.1109/JSTQE.2021.3061960}

}

MLA

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MLA Copy

Gric, Tatjana, et al. “The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization: Identifying Tumor Locus.” IEEE Journal of Selected Topics in Quantum Electronics, vol. 27, no. 5, Sep. 2021, pp. 1-8. https://doi.org/10.1109%2FJSTQE.2021.3061960.

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Publisher

IEEE

Journal

IEEE Journal of Selected Topics in Quantum Electronics

Quartile SCImago

Quartile WOS

Impact factor

4.9

ISSN

1077260X (Print)
15584542 (Electronic)

Labs

Scientific and Technological Center of Biomedical Photonics

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