An efficient ML approach to detect brain tumor using MRI images

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorMuktadir, Md. Arafat
dc.contributor.authorRahmat Ullah, A.S.M.
dc.contributor.authorIslam, Md. Jubayer
dc.contributor.authorHossain, Emdad
dc.contributor.authorMunny, Tanjila Akter
dc.contributor.authorMuaz Ali, Syed
dc.contributor.authorAlam, Md. Ashraful
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-09-29T06:36:38Z
dc.date.available2026-09-29T06:36:38Z
dc.date.issued2023-01-01
dc.description.abstractBrain tumors have become one of the most leading causes of death worldwide. Early diagnosis of brain tumor is really important as it spreads quickly. One of the most challenging task in medical field is tumor detection and classification. Medical data has revealed that manual tumor detection and classification with human assistance can result in an incorrect prediction and diagnosis. Recently, combining machine learning with deep learning algorithms have shown promising outcomes for enhancing the accuracy and efficiency of brain tumor detection and classification from MRI images. In our paper our main target is to find better accuracy as well as more efficient way to detect and classify brain tumor from the MRI images using Image Processing, Machine Learning and Deep Learning.
dc.description.versionPublished
dc.format.extent6 Pages
dc.identifier.citationM. A. Muktadir et al., "An Efficient ML Approach to Detect Brain Tumor Using MRI Images," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441645.
dc.identifier.doi10.1109/ICCIT60459.2023.10441645
dc.identifier.issn9798350359015
dc.identifier.other2-s2.0-85187377837
dc.identifier.urihttps://hdl.handle.net/10361/30280
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/ICCIT60459.2023.10441645
dc.relation.ispartof2023 26th International Conference on Computer and Information Technology Iccit 2023
dc.relation.ispartofseries2023 26th International Conference on Computer and Information Technology Iccit 2023
dc.relation.urihttps://ieeexplore.ieee.org/document/10441645
dc.subjectDeep learning
dc.subjectTraining
dc.subjectMachine learning algorithms
dc.subjectMagnetic resonance imaging
dc.subjectFeature extraction
dc.subjectMedical diagnostic imaging
dc.subjectTumors
dc.subjectImage processing
dc.subject.lcshBrain--Tumors--Diagnosis.
dc.subject.lcshMagnetic resonance imaging.
dc.subject.lcshDeep learning (Machine learning).
dc.titleAn efficient ML approach to detect brain tumor using MRI images
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id58930678100
person.identifier.scopus-author-id58930485500
person.identifier.scopus-author-id57207729147
person.identifier.scopus-author-id59026267400
person.identifier.scopus-author-id58931448600
person.identifier.scopus-author-id58144182000
person.identifier.scopus-author-id58813137600

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