Call for Papers:Vol.12 Issue.2

Submission
Last date		 28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION
PaperId: :  19588
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19588
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr. G. SivakumarErode Sengunthar Engineering College
R. DharaniErode Sengunthar Engineering College
N. KaveneshErode Sengunthar Engineering College
S. NandhakumarErode Sengunthar Engineering College

Abstract

Computer Engineering
Brain tumor, Segmentation, Medical imaging, Convolution neural network, MRI
Magnetic Resonance Imaging (MRI) has grown in popularity in recent years, particularly in the field of medical technology, for the diagnosis of brain tumors. Only using MR imaging to detect and partition brain cancers requires a significant amount of time and effort on the side of the involved staff, as well as a high level of competence. This supports the requirement for developing an independent model for brain tumor diagnosis. In our work, we develop a convolutional neural network (CNN) for MR image-based brain tumor diagnosis. The dataset used in this study includes 253 brain MR pictures, of which 155 are said to include malignancies. Our approach has a 96% overall accuracy in identifying the MR pictures with malignancies. In the test dataset, the model performed better than the currently used traditional approaches for the diagnosis of brain tumors (Precision = 0.97, Recall = 0.96, and F1-score = 0.96). In order to speed up the treatment process, clinical specialists may find it useful to use the proposed model to determine whether the patient has a brain tumor.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. "CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1395-1404
MLA Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. "CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1395-1404.
APA Dr. G. Sivakumar, R. Dharani, N. Kavenesh, & S. Nandhakumar. (2023). CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1395-1404.
Chicago Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. "CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1395-1404.
Oxford Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. 'CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1395-1404. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/CONVOLUTION_NEURAL_NETWORK_FOR_BRAIN_TUMOR_SEGMENTATION_ijariie19588.pdf (Accessed : 10 April 2025).
Harvard Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. (2023) 'CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1395-1404IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/CONVOLUTION_NEURAL_NETWORK_FOR_BRAIN_TUMOR_SEGMENTATION_ijariie19588.pdf (Accessed : 10 April 2025)
IEEE Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar, "CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1395-1404, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/CONVOLUTION_NEURAL_NETWORK_FOR_BRAIN_TUMOR_SEGMENTATION_ijariie19588.pdf [Accessed : 10 April 2025].
Turabian Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. "CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (10 April 2025).
Vancouver Dr. G. Sivakumar, R. Dharani, N. Kavenesh, and S. Nandhakumar. CONVOLUTION NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 10 April 2025]; 9(2) : 1395-1404. Available from: https://ijariie.com/AdminUploadPdf/CONVOLUTION_NEURAL_NETWORK_FOR_BRAIN_TUMOR_SEGMENTATION_ijariie19588.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 4/10/2025 4:44:55 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
WORD-LEVEL BLUR FOR REAL-TIME SCREEN ABUSE DETECTION: IMPLEMENTATION AND EVALUATIONcomputer Engineeringsohel sayyad Download
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
Improvising Personalized Travel Recommendation System with Recency Effectscomputer science engineeringMrs. Fathima Zahera Download
Ensemble Models and Explainable AI for Malware DetectionComputer Science M Vandana Download
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
Consumer Behavioural Analysis Using Advanced Clustering TechniquesComputer Science and EngineeringSupriya Thati Download
A Low-Cost Smartphone-Based Sign Language Translator Using Computer Vision for Real-Time Deaf–Hearing CommunicationComputer Science and EngineeringHarsh Mishra Download
Predicting Stock Market Trends using Deep Learning TechniquesComputer Science and EngineeringAkruthi Shere Download
A SURVEY ON SMART VOTING SYSTEM USING BLOCKCHAINComputer Science EngineeringAleena Shaju Download
A SURVEY ON SECURESCAN 360: CYBER INTEGRATED SYSTEM FOR THREAT DETECTION AND IMAGE AUTHENTICATIONComputer Science and EngineeringAparna Sunil Download
Efficient Use of Dialog Boxes in GUI Development using VB.NETComputer ScienceDR. RISHI MATHUR Download
12