Automated Computer Analysis of Microscopy Images Based on Laplacian and Neuro-Fuzzy Networks | Научно-инновационный портал СФУ

Automated Computer Analysis of Microscopy Images Based on Laplacian and Neuro-Fuzzy Networks

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Computational Methods in Systems and Software, CoMeSySo 2021

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-90321-3_28

Ключевые слова: automated microscopy, computer-aided diagnosis, laplacian, neuro-fuzzy networks

Аннотация: Automated medical imaging is at the heart of modern medical diagnostic systems. The authors propose a model for computer analysis of light microscopy images. This model includes filtering and segmentation modules, a feature extraction module, and a classification module. The formation of the classifying function is based on a neuro-fuzzy model, and segmentation was carried out using the Laplacian-Gaussian. The authors propose a modified version of the Laplacian of the Gaussian by adding a non-sharp masking procedure. The authors tested the quality of filtering and segmentation using the Normalised Colour Difference (NCD) metric. The feature extraction module is based on contour and color descriptors. The authors use Fourier descriptors as contour descriptors and the color values of the RGB and HSV model parameters of the object and the area around the object as color descriptors. The resulting model is implemented as a prototype of an automated system and tested on a test set of images. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Networks and Systems

Выпуск журнала: Vol. 231 LNNS

Номера страниц: 351-355

ISSN журнала: 23673370

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Shelomentseva I.G. (Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky, 1, Partizan Zheleznyak Avenue, Abakan, Krasnoyrsk, 660022, Russian Federation, Siberian Federal University, 79, Svobodny Avenue, Abakan, Krasnoyrsk, 660041, Russian Federation)
  • Chentsov S.V. (Siberian Federal University, 79, Svobodny Avenue, Abakan, Krasnoyrsk, 660041, Russian Federation)
  • Yakasova N.V. (Siberian Federal University, 79, Svobodny Avenue, Abakan, Krasnoyrsk, 660041, Russian Federation, Khakassia State University named after N. F. Katanov, 90, Lenin Avenue, Abakan, 655017, Russian Federation)

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