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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
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 122
Article Submitted : 25330
Article Published : 9497
Total Authors : 25208
Total Reviewer : 873
Total Countries : 172
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| Paper Title: | Hybrid Deep Feature Fusion with PCA–mRMR Optimization for Multi-Class Brain Tumor Classification from MRI Images |
| Authors Name: | Rashmi Banchhor , Rakesh Kumar Khare |
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| Author Reg. ID: |
IJRTI_213597
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| Published Paper Id: | IJRTI2606110 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Classifying brain tumors from MRI scans is really tough because of all the noise and variation in the images and some tumors can look pretty similar. Even though deep learning models do a job they can miss important details if they are working alone and combining models can lead to repeating information. This research suggests using a combination of ResNet50 and VGG16 to get a look at the features of the tumors and then using PCA and mRMR to pick the most important ones. The goal is to tell apart four types of tumors which're glioma, meningioma, pituitary and no tumor using a multi-class SVM. This approach works well getting it right about 94.51 percent of the time. The good news is that it still works almost as well at 94.39 percent even when it is optimized to use fewer features and run faster which makes it a great tool, for helping doctors make decisions quickly and efficiently. |
| Keywords: | Feature Fusion combines features, ResNet50 and VGG16 are deep learning models, PCA, mRMR help in Feature Selection, Support Vector Machine. |
| Cite Article: | "Hybrid Deep Feature Fusion with PCA–mRMR Optimization for Multi-Class Brain Tumor Classification from MRI Images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.b24-b34, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606110.pdf |
| Downloads: | 00083 |
| 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 |
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Published Paper ID: IJRTI2606110
Registration ID:213597
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: b24-b34 Country: Raipur, Chhattisgarh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606110 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606110 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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