Brain's tumor image processing using shearlet transform

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

Конференция: Applications of Digital Image Processing XL 2017

Год издания: 2017

Идентификатор DOI: 10.1117/12.2272792

Ключевые слова: brain tumor detection, edge detection, image analysis, Medical imaging, shearlet transform

Аннотация: Brain tumor detection is well known research area for medical and computer scientists. In last decades there has been much research done on tumor detection, segmentation, and classification. Medical imaging plays a central role in the diagnosis of brain tumors and nowadays uses methods non-invasive, high-resolution techniques, especially magnetic resonance imaging and computed tomography scans. Edge detection is a fundamental tool in image processing, particularly in the areas of feature detection and feature extraction, which aim at identifying points in a digital image at which the image has discontinuities. Shearlets is the most successful frameworks for the efficient representation of multidimensional data, capturing edges and other anisotropic features which frequently dominate multidimensional phenomena. The paper proposes an improved brain tumor detection method by automatically detecting tumor location in MR images, its features are extracted by new shearlet transform. © 2017 SPIE.

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Издание

Журнал: Proceedings of SPIE - The International Society for Optical Engineering

Выпуск журнала: Vol. 10396

ISSN журнала: 0277786X

Издатель: SPIE

Авторы

  • Cadena L. (Universidad de Las Fuerzas Armadas ESPE, Av. Gral Ruminahui s/n, Sangolqui, Ecuador, Siberian State Aerospace University, 31 krasnoyarsky rabochy pr., Krasnoyarsk, Russian Federation; Siberian State Aerosp Univ, 31 Krasnoyarsky Raboch Pr, Krasnoyarsk 660014, Russia)
  • Espinosa N. (Universidad de Las Fuerzas Armadas ESPE, Av. Gral Ruminahui s/n, Sangolqui, Ecuador)
  • Cadena F. (College Juan Suarez Chacon, Quito, Ecuador)
  • Korneeva A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, Russian Federation)
  • Kruglyakov A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, Russian Federation)
  • Legalov A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, Russian Federation)
  • Romanenko A. (Novosibirsk State University, 2 Pirogova Str., Novosibirsk-90, Russian Federation)
  • Zotin A. (Siberian State Aerospace University, 31 krasnoyarsky rabochy pr., Krasnoyarsk, Russian Federation)

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