TY - JOUR

T1 - The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalization

T2 - Identifying Tumor Locus

AU - Gric, Tatjana

AU - Sokolovski, Sergei

AU - Alekseev, Alexander

AU - Mamoshin, Andrian

AU - Dunaev, Andrey

AU - Rafailov, Edik

N1 - Publisher Copyright: © 1995-2012 IEEE.

PY - 2021/9/1

Y1 - 2021/9/1

N2 - 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.

AB - 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.

KW - Cancer

KW - metamaterial

UR - http://www.scopus.com/inward/record.url?scp=85101799672&partnerID=8YFLogxK

U2 - 10.1109/JSTQE.2021.3061960

DO - 10.1109/JSTQE.2021.3061960

M3 - Article

AN - SCOPUS:85101799672

VL - 27

JO - IEEE Journal of Selected Topics in Quantum Electronics

JF - IEEE Journal of Selected Topics in Quantum Electronics

SN - 1077-260X

IS - 5

M1 - 9363516

ER -