 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: February 2026
Volume 11 | Issue 2
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21318
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Image-Based Brain Tumor Diagnosis System Using CNN |
| Authors Name: | JEEVITHA A P , DR.SUDHARSHAN M , RITHIN S , GANAVI K K , KIRAN K K |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_208550
|
| Published Paper Id: | IJRTI2512145 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | The objective of this research is to assist medical professionals by providing an efficient and reliable tool for the early detection of brain tumors using MRI images. The proposed system utilizes image preprocessing techniques and a Convolutional Neural Network (CNN) model to classify MRI scans into tumor and non-tumor categories. The methodology involves dataset preprocessing, model training, optimization, and validation using standard evaluation metrics such as accuracy, precision, recall, and F1-score. A web-based interface developed using Streamlit enables real-time image analysis and ease of use for non-expert users. Experimental results demonstrate that the proposed CNN-based approach achieves high accuracy and reliable performance on unseen MRI images. The system is designed to support medical practitioners by providing a fast and accurate second opinion, thereby enhancing diagnostic efficiency. |
| Keywords: | Brain Tumor Detection, MRI Images, Convolutional Neural Network, Deep Learning, Medical Image Classification, CNN |
| Cite Article: | "Image-Based Brain Tumor Diagnosis System Using CNN", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b367-b372, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512145.pdf |
| Downloads: | 000113 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2512145
Registration ID:208550
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: b367-b372 Country: BENGALURU, KARNATAKA, INDIA Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512145 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512145 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||