International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 3
May-June 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Brain Tumour Detection using Image Segmentation

Author(s) Karnika N, Kiruthik Dhaya R S, Lekha Shri G, Prof. Ms. Vijaya Lakshmi D M
Country India
Abstract Brain tumor detection is a critical aspect of medical diagnostics, as early and accurate identification significantly improves treatment outcomes. This study explores the application of advanced image segmentation techniques for automated brain tumor detection in medical imaging, such as magnetic resonance imaging (MRI) scans. The proposed approach leverages deep learning models, particularly convolutional neural networks (CNNs) and U-Net architectures, to achieve precise tumor segmentation. By preprocessing MRI data and enhancing image quality, the method ensures accurate delineation of tumor boundaries. The system evaluates performance based on metrics such as Dice similarity coefficient (DSC), precision, recall, and accuracy. Results demonstrate that the model effectively distinguishes between healthy tissue and tumor regions, providing reliable diagnostic support to clinicians. This approach holds promise for reducing manual effort, enhancing diagnostic speed, and improving patient outcomes through accurate and timely detection of brain tumors. Future work focuses on integrating multimodal imaging and expanding the dataset to enhance robustness and generalizability.
Keywords Magnetic Resonance Imaging, Convolutional Neural Networks, Differential Scanning Calorimetry
Field Medical / Pharmacy
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-05
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.40633
Short DOI https://doi.org/g9dg47
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 3Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com