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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 14 | Issue 2 | Month- February 2026
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Published Paper Details:
Paper Title
A review on brain tumor detection methods and technologies
Authors
MAYA BALIRAM CHAVAN, S. S. Gadekar, S. P. Kkarde
Keywords
brain tumor; MRI; deep learning; artificial intelligence; medical images; convolution neural networks (CNN); transfer learning.
Abstract
Brain tumor detection is essential for early diagnosis and successful treatment, which significantly increases the chances of recovery and survival. Timely detection allows for appropriate and more effective treatment to begin, as delayed diagnosis can substantially increase mortality rates, especially with fast-growing malignant tumors. Artificial intelligence (AI) and machine learning (ML) are crucial tools that assist in early detection by automating the process of analyzing medical images. CAD systems, often powered by AI techniques, help physicians identify and classify tumors more accurately and efficiently than manual methods alone. Algorithms can extract intricate patterns from images that may be missed during manual review, leading to more accurate diagnoses.
IJCRT's Publication Details
Unique Identification Number - IJCRT2510368
Paper ID - 295039
Page Number(s) - d82-d85
Pubished in - Volume 13 | Issue 10 | October 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
MAYA BALIRAM CHAVAN, S. S. Gadekar, S. P. Kkarde, "A review on brain tumor detection methods and technologies", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.d82-d85, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510368.pdf
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Volume 14 | Issue 2
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February 2026
Volume 14 | Issue 2
Last Date :
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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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