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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 12 | Month- December 2025
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Published Paper Details:
Paper Title
Advancements in AI Techniques for Enhanced Brain Tumor Diagnosis: A Comprehensive Review of MRI Applications
Authors
Anees Fathima, Noor Ayesha, Dr. Zahira Tabassum, Dr.Sufia Banu, Sanjana. D.N
Keywords
Brain tumor detection, Brain tumor clas- sification, MRI images, Machine learning, Deep learning CNNs, AI-based approaches, Diagnosis accuracy, Efficiency Dataset diversity, Real-time processing, Evaluation metrics
Abstract
The paper provides a detailed review of ad- vanced machine learning and deep learning algorithms applied to brain tumor detection and classification from MRI images. The paper aims to assess the performance of various AI-based approaches to enhance the diagnosis ac- curacy with improved efficiency. We discuss the application of CNNs and other deep learning models and describe their strengths and weaknesses regarding processing MRI data. Our results show significant increases in the accuracy of the detection of tumors, especially when working with high- quality images and diverse datasets. The study necessitates the integration of advanced AI techniques: future research directions would be to overcome the current challenges existing in the dataset diversity, real-time processing, and the standardization of the evaluation metrics.
IJCRT's Publication Details
Unique Identification Number - IJCRT2506649
Paper ID - 289320
Page Number(s) - f574-f583
Pubished in - Volume 13 | Issue 6 | June 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Anees Fathima, Noor Ayesha, Dr. Zahira Tabassum, Dr.Sufia Banu, Sanjana. D.N, "Advancements in AI Techniques for Enhanced Brain Tumor Diagnosis: A Comprehensive Review of MRI Applications", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.f574-f583, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506649.pdf
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Volume 13 | Issue 12
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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