Publication:
COMPUTER AIDED BRAIN TUMOR DETECTION WITH HISTOGRAM EQUALIZATION AND MORPHOLOGICAL IMAGE PROCESSING TECHNIQUES

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dc.contributor.authorsUlku, Eyup Emre; Camurcu, Ali Yilmaz
dc.contributor.editorOzcan, R
dc.contributor.editorMalas, T
dc.contributor.editorYilmaz, O
dc.date.accessioned2022-03-12T16:14:09Z
dc.date.accessioned2026-01-11T17:43:11Z
dc.date.available2022-03-12T16:14:09Z
dc.date.issued2013
dc.description.abstractComputer-aided detection (CAD) systems help to radiology experts in mass detection using image processing techniques. This study aims to realize mass detection process on brain MRI (Magnetic Resonance Imaging) images. This paper describes the CAD system that is based on histogram equalization and morphological image processing techniques. The processes are carried out through 125 MR images which are taken from 11 people that are 8 people with tumors, 3 people without tumors. In classification stage which is the last stage of the computer-aided detection systems, 6 classification algorithms are tested in the RapidMiner program, and these algorithms are compared with each other to show CAD system accuracy.
dc.identifier.doidoiWOS:000336616500013
dc.identifier.isbn978-1-4799-3343-3
dc.identifier.urihttps://hdl.handle.net/11424/225250
dc.identifier.wosWOS:000336616500013
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2013 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCAD system
dc.subjectBrain Tumor Detection
dc.subjectHistogram Equalization
dc.subjectMorphological Detection
dc.subjectImage Processing
dc.titleCOMPUTER AIDED BRAIN TUMOR DETECTION WITH HISTOGRAM EQUALIZATION AND MORPHOLOGICAL IMAGE PROCESSING TECHNIQUES
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage51
oaire.citation.startPage48
oaire.citation.title2013 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO)

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