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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 115
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| Paper Title: | DECISION SUPPORT SYSTEM FOR NEURODEGENERATIVE DISEASES (BRAIN TUMOR) USING ENSEMBLE CNN |
| Authors Name: | Dr.C.A.Sathiya Moorthy , HARI RAGAVAN P. , CHANDRU B. , GIRIDHARAN S. , niill |
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IJRTI_202061
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| Published Paper Id: | IJRTI2504108 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Detecting brain tumors remains a challenging task due to their diverse appearances and complex nature. Traditional imaging techniques often struggle with precision, necessitating advanced deep learning-based approaches to improve detection accuracy. The proposed system integrates multiple feature extraction and classification techniques to enhance performance. ResNet-101, a deep convolutional neural network, is employed for feature extraction due to its ability to capture intricate patterns and hierarchical representations within brain imaging data. Additionally, a custom CNN is utilized to further refine feature extraction by learning domain-specific characteristics of brain tumors. These extracted features are then fed into multiple machine learning classifiers, including Support Vector Machine (SVM), Random Forest (RF), and Logistic Regression (LR), each contributing to different aspects of classification. To further enhance robustness, a Voting Classifier is employed to combine the predictions from these classifiers, leveraging their strengths to achieve a more reliable and accurate final decision. This hybrid approach not only ensures high detection accuracy but also improves model generalization, making it well-suited for clinical applications where precision and adaptability are crucial |
| Keywords: | – Brain Tumor Detection, ResNet-101, Feature Extraction, Convolutional Neural Network (CNN), Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), Voting Classifier, Machine Learning Classifiers |
| Cite Article: | "DECISION SUPPORT SYSTEM FOR NEURODEGENERATIVE DISEASES (BRAIN TUMOR) USING ENSEMBLE CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b45-b51, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504108.pdf |
| Downloads: | 000308 |
| 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: IJRTI2504108
Registration ID:202061
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b45-b51 Country: VILLUPURAM, TAMILNADU, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504108 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504108 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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