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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 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
Super-Resolution MRI-Based Brain Tumor Classification Utilizing ResNet
Authors
ANGOTHU GOVIND, Prof.T.Kishore Kumar
Keywords
MRI, Brain Tumor, Super-Resolution, ResNet, Deep Learning, Classification.
Abstract
Magnetic Resonance Imaging (MRI) serves as a pivotal tool in diagnosing brain tumors, enabling non-invasive visualization of pathological tissues. However, the accuracy of tumor classification from MRI scans can be improved by leveraging advanced techniques like Super-Resolution (SR) and deep learning models. This paper presents an innovative approach utilizing ResNet (Residual Networks) in tandem with SR techniques for enhancing the resolution of MRI scans and subsequently classifying brain tumors with high accuracy. Experimental results demonstrate the effectiveness of the proposed methodology in achieving superior classification performance compared to traditional methods.
IJCRT's Publication Details
Unique Identification Number - IJCRT2312812
Paper ID - 248685
Page Number(s) - h241-h248
Pubished in - Volume 11 | Issue 12 | December 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
ANGOTHU GOVIND, Prof.T.Kishore Kumar, "Super-Resolution MRI-Based Brain Tumor Classification Utilizing ResNet", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.h241-h248, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312812.pdf
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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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