Brain's tumor edge detection on low contrast medical images

Описание

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

Конференция: Annual International Conference on Information and Sciences; Univ Fallujah, Fallujah, IRAQ; Univ Fallujah, Fallujah, IRAQ

Год издания: 2019

Идентификатор DOI: 10.1109/AiCIS.2018.00021

Ключевые слова: Balance Contrast Enhancement Technique (BCET), brain tumor, Canny operator, edge detection, fuzzy C means, median filter, medical imaging, tumor pathology

Аннотация: Medical image processing is the most challenging and emerging field nowadays. Edge detection of MRI images is one of the most important elements of this field. This paper describes the proposed strategy to detect the edges of brain tumor from patient's MR

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Издание

Журнал: Proceedings - 2018 1st Annual International Conference on Information and Sciences, AiCIS 2018

Номера страниц: 45-50

Издатель: Institute of Electrical and Electronics Engineers Inc.

Персоны

  • Hamad Yousif A. (Siberian Fed Univ, Inst Space & Informat Sci, Krasnoyarsk, Russia)
  • Simonov Konstantin (Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Krasnoyarsk, Russia)
  • Naeem Mohammad B. (Al Maaref Univ Coll, Dept Comp Sci, Ramadi, Iraq)