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

Конференция: International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018

Год издания: 2018

Идентификатор DOI: 10.1016/j.procS.2018.08.069

Ключевые слова: Brain, Diagnosis, Edge detection, Fuzzy filters, Image segmentation, Knowledge based systems, Magnetic resonance imaging, MATLAB, Median filters, Medical imaging, Pathology, Tumors, Canny edge detection, Canny Operators, Contrast Enhancement, Expert estim

Аннотация: Nowadays, medical image processing is the most challenging and emerging field. Edge detection of MRI images is one of the most important stage in this field. The paper describes the proposed strategy to detect the edges of brain tumor from patient's MRI s

Журнал: Procedia Computer Science

Выпуск журнала: Vol. 126

Номера страниц: 1261-1270

ISSN журнала: 18770509

Издатель: Elsevier B.V.

• Zotin A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky rabochy av., Krasnoyarsk, 660037, Russian Federation)
• Simonov K. (Institute of Computational Modeling of the Siberian Branch, Russian Academy of Sciences, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
• Kurako M. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)
• Hamad Y. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)
• Kirillova S. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)