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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 : 22189
Article Published : 8705
Total Authors : 22904
Total Reviewer : 820
Total Countries : 161
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| Paper Title: | BRAIN TUMOR DETECTION USING VGG16 |
| Authors Name: | Rahul A , Mohan Rajadurai N , Prithiviraj D , Prithiv Raj S R , Gokulraj Y |
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IJRTI_202251
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| Published Paper Id: | IJRTI2504107 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Brain tumor detection is a critical task in medical imaging, and the accurate identification of brain tumors can significantly improve prognosis and treatment outcomes. This paper presents a novel approach to brain tumor detection using the VGG16 deep learning architecture, a convolutional neural network (CNN) known for its high accuracy in image classification tasks. The VGG16 model, pre-trained on a large dataset, is fine-tuned to detect brain tumors from MRI scans. The method involves preprocessing MRI images, applying data augmentation techniques, and feeding the processed images into the VGG16 model for classification. The network's deep layers extract hierarchical features, which are then used to classify the images into tumor or non-tumor categories. The performance of the model is evaluated using standard metrics such as accuracy, precision, recall, and F1-score. Experimental results demonstrate that the proposed method achieves high classification accuracy, making it an effective tool for early detection of brain tumors, thereby aiding clinicians in diagnosis and treatment planning. |
| Keywords: | Brain Tumor Detection,Deep Learning,VGG16 Architecture,Convolutional Neural Networks (CNN),Medical Imaging,MRI Scans,Image Classification |
| Cite Article: | "BRAIN TUMOR DETECTION USING VGG16", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.b41-b44, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504107.pdf |
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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: IJRTI2504107
Registration ID:202251
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b41-b44 Country: Tiruppur, Tamil Nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504107 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504107 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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