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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: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
Total Countries : 162
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| Paper Title: | A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Glioma Brain Tumor |
| Authors Name: | MANOJ KOUSHIK , Srujith , Md.Aman , Kiran Kumar Gopathoti |
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IJRTI_211443
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| Published Paper Id: | IJRTI2604162 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Accurate and early detection of gliomas is critical for effective treatment planning and improved patient outcomes. This paper presents a concatenation-based deep learning framework that combines the strengths of two pre trained convolutional neural networks — InceptionV3 and DenseNet201 — to classify brain MRI images into four categories: Glioma, Meningioma, Pituitary, and No Tumor. Using transfer learning and targeted data augmentation, the hybrid model integrates multi-scale and dense feature representations to enhance discriminative capabil- ity. The proposed model achieves high classification accuracy and balanced per-class precision/recall metrics on a publicly available dataset of 7,022 MRI images. A Flask-based web interface is developed for single-image prediction and confidence visualization, demonstrating the model’s practical deployment potential. Future work emphasizes volumetric (3D) modeling and explainable AI integration for improved clinical interpretability. |
| Keywords: | Deep Learning, Convolutional Neural Networks, InceptionV3, DenseNet201, Feature Concatenation, Transfer Learning, MRI Classification, Glioma. |
| Cite Article: | "A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Glioma Brain Tumor", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b176-b181, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604162.pdf |
| Downloads: | 00044 |
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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: IJRTI2604162
Registration ID:211443
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b176-b181 Country: Hyderabad, TELANGANA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604162 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604162 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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