A Novel Approach for Brain Tumor Detection Using MRI Images
Author(s) -
Isselmou Abd El Kader,
Shuai Zhang,
Guizhi Xu
Publication year - 2016
Publication title -
journal of biomedical science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1937-688X
pISSN - 1937-6871
DOI - 10.4236/jbise.2016.910b006
Subject(s) - segmentation , computer science , artificial intelligence , pattern recognition (psychology) , magnetic resonance imaging , image segmentation , brain tumor , computer vision , radiology , medicine , pathology
Processing magnetic resonance images are very complex and constantly studied by the researchers to give doctors better ability to diagnose the patients. In order to detect automatically suspicious regions or tumors, we present a new approach inspired by threshold segmentation and based on morphological operations in this paper. The advantages of our approach come from the complementarities between these two approaches. The morphological operations extract roughly the tumor region and eventually can affect healthy while the threshold segmentation method gives a clear picture of the structure of the different brain and therefore these two approaches improve significantly the threshold segmentation and detection and extraction of the tumor zone based on morphological operations.
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