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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
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Total Authors : 25208
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| Paper Title: | Comparative Study of Deep Learning, Transfer Learning, and Transformer-Based Models for Brain Tumor Classification Using MRI Images |
| Authors Name: | PRASHANTHA J , Dr. SRIDEVI MALIPATIL |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_213508
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| Published Paper Id: | IJRTI2606075 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Abstract—Brain tumor detection by Magnetic Resonance Imaging (MRI) is a significant topic in the field of medical image analysis due to its importance in the improvement of treatment methods and patient survival rates. This paper introduces a com- parative study between the use of deep learning, transfer learn- ing, transformers, and hybrid transformers for multiclass brain tu- mor classification. Four classes of MRI brain tumors have been taken into consideration, namely glioma, meningioma, pituitary tumors, and normal MRI brain images. Numerous deep learning models including CNN, VGG19, ResNet50, DenseNet121, Ef- ficientNetB4, ViT, DeiT, BEiT, Swin Transformer, SegForm-er, HViDT, Trans-EffNet, and U-Net Transformer have been implemented in identical experiments. According to experimental results, transformer models significantly outperform convolu-tional neural networks. Among all models, Vision Transformer (ViT) gives highest accuracy rate on testing data sets with 98.76%The results show the capability of self-attentive mechanism in extracting global contextual information in MRI images. |
| Keywords: | Index Terms—Brain Tumor Detection, MRI, Deep Learning, Vision Transformer, Medical Image Analysis, Transfer Learn-ing, Hybrid Transformer |
| Cite Article: | "Comparative Study of Deep Learning, Transfer Learning, and Transformer-Based Models for Brain Tumor Classification Using MRI Images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a742-a762, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606075.pdf |
| Downloads: | 00096 |
| 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: IJRTI2606075
Registration ID:213508
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a742-a762 Country: BALLARI, KARNATAKA, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606075 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606075 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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