Open AccessBrain tumor identification and tracking using image processing technique
Author(s) -
Juan José Augusto Moyano Muñoz,
José Sebastián Sotelo Cuéllar
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns1.5875
Subject(s) - brain tumor , image processing , computer science , artificial intelligence , identification (biology) , computer vision , tracking (education) , neuroimaging , magnetic resonance imaging , digital image processing , pattern recognition (psychology) , image (mathematics) , medicine , pathology , radiology , neuroscience , psychology , biology , pedagogy , botany
Abnormal growth of mass or cell in the brain is considered as a brain tumor. The proper functioning of the brain is affected by the growth of any tissue or cell abnormally. Knowing about the abnormalities in a specific area, an effective technology-based system is required which can provide accurate and meaningful information about the disorders. Now a day's image processing plays an important role in medical science as well as the field is also developing in many ways. Various methods in image processing help doctors to get maximum information about the disease with minimum possible errors. Some of these techniques are CT scans (Computed Tomography Scan), Magnetic resonance imaging (MRI), X-rays. These advanced technologies are capable of detecting all the biggest to smallest defects in the body. All these computerized techniques are equipped with high resolution and better quality image readers. This research investigates brain tumor identification and tracking using an image processing technique. For this research 40, sample images were examined using image processing techniques using classification methods with brain tumor problem and without brain tumor problems investigated. The present work represents 92.5% accuracy for the detection of patients with brain tumors during analysis.