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Title: :  BRAIN TUMOR DETECTION AND CLASSIFICATION
PaperId: :  25603
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25603
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
R YashodaraDon Bosco Institute of Techonology
Divyashree.KDon Bosco Institute of Techonology
Hemapriya.JDon Bosco Institute of Techonology
Harshitha.RDon Bosco Institute of Techonology
kavyaDon Bosco Institute of Techonology

Abstract

Computer Engineering
MRI; brain tumor; classification; convolutional neural network; detection; fine-tuning; hyperparameter.
This report presents the findings and outcomes of the mini project titled "Brain Tumo Detection And Classification," conducted as part of the Mini Project under the Department of Information Science & Engineering, Visvesvaraya Technological Technology. Early detection is crucial for effective brain tumor treatment, given the significant risks to patients' lives. The study proposes a distinctive method for automatically identifying and categorizing brain cancers using medical imaging data, specifically magnetic resonance imaging (MRI) scans. The technology facilitates precise, efficient, and real-time diagnostics by employing advanced image processing and machine learning algorithms to analyse brain images. A primary research objective is the development of an automated method for detecting brain cancers in MRI scans. Subsequently, a machine learning model is trained on a large and diverse dataset to classify tumors into various groups, including pituitary, glioma, and meningioma. The system's performance is rigorously tested using a substantial and varied dataset to ensure its therapeutic relevance. The overarching research goal is to achieve high sensitivity, specificity, and accuracy in tumor detection while minimizing false positives and negatives. The proposed system has the potential to assist medical practitioners in diagnosing patients more rapidly and accurately, thereby enhancing patient outcomes. This research and development project underscores the potential of combining medical imaging and artificial intelligence for early detection and classification of brain tumors, offering the prospect of reduced diagnostic time and increased effectiveness in healthcare systems.

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IJARIIE R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. "BRAIN TUMOR DETECTION AND CLASSIFICATION" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 95-101
MLA R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. "BRAIN TUMOR DETECTION AND CLASSIFICATION." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 95-101.
APA R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, & kavya. (2025). BRAIN TUMOR DETECTION AND CLASSIFICATION. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 95-101.
Chicago R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. "BRAIN TUMOR DETECTION AND CLASSIFICATION." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 95-101.
Oxford R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. 'BRAIN TUMOR DETECTION AND CLASSIFICATION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 95-101. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_DETECTION_AND_CLASSIFICATION_ijariie25603.pdf (Accessed : ).
Harvard R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. (2025) 'BRAIN TUMOR DETECTION AND CLASSIFICATION', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 95-101IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_DETECTION_AND_CLASSIFICATION_ijariie25603.pdf (Accessed : )
IEEE R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya, "BRAIN TUMOR DETECTION AND CLASSIFICATION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 95-101, Jan-Feb 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_DETECTION_AND_CLASSIFICATION_ijariie25603.pdf [Accessed : ].
Turabian R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. "BRAIN TUMOR DETECTION AND CLASSIFICATION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 ().
Vancouver R Yashodara, Divyashree.K, Hemapriya.J, Harshitha.R, and kavya. BRAIN TUMOR DETECTION AND CLASSIFICATION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(1) : 95-101. Available from: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_DETECTION_AND_CLASSIFICATION_ijariie25603.pdf
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