A SURVEY ON DETECTING BRAIN TUMOR MRI IMAGES USING IMAGE PROCESSING TECHNIQUES

dc.contributor.authorA, Sindhu
dc.contributor.authorS, Meera
dc.date.accessioned2020-08-05T05:39:02Z
dc.date.available2020-08-05T05:39:02Z
dc.date.issued2015-01
dc.description.abstractMedical Image Processing is the fast growing and challenging field now a days. Medical Image techniques are used for Medical diagnosis. Brain tumor is a serious life threatening disease. Detecting Brain tumor using Image Processing techniques involves four stages namely Image Pre-Processing, Image segmentation, Feature Extraction, and Classification. Image processing and neural network techniques are used to improve the performance of detecting and classifying brain tumor in MRI images. In this survey various Image processing techniques are reviewed particularly for Brain tumor detection in magnetic resonance imaging. More than twenty five research papers of image processing techniques are clearly reviewed.en_US
dc.identifier.issn2320 – 9801
dc.identifier.urihttp://www.ijircce.com/upload/2015/january/23A_A%20Survey.pdf
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/609
dc.language.isoenen_US
dc.publisherInternational Journal of Innovative Research in Computer and Communication Engineeringen_US
dc.subjectPre-processingen_US
dc.subjectImage segmentationen_US
dc.subjectFeature extractionen_US
dc.subjectClassificationen_US
dc.subjectBraintumouren_US
dc.subjectMRIimagesen_US
dc.titleA SURVEY ON DETECTING BRAIN TUMOR MRI IMAGES USING IMAGE PROCESSING TECHNIQUESen_US
dc.typeArticleen_US

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