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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
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Authors
RUCHIKA YADAV,PARUL SINGH,Dr. Neeta Verma,Vidisha Kumar
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Keywords
brain tumor classification; deep learning; convolutional neural network; multiscale processing; data augmentation; MRI
Abstract
Advancements in medical imaging and machine learning technologies have synergistically catalyzed breakthroughs in the field of healthcare, particularly in the early diagnosis of complex diseases such as brain tumors. This research paper presents a comprehensive investigation into the development of a robust and efficient brain tumor detection system employing state-of-the-art machine learning techniques.
The proposed methodology integrates a diverse set of magnetic resonance imaging (MRI) scans, to capture a holistic representation of the brain's structural and functional aspects. A curated dataset, comprising a spectrum of brain tumor cases and healthy brain images, is utilized for training and evaluating the machine learning algorithms.
Our research delves into the application of deep learning architectures, such as convolutional neural networks (CNNs) built using PyTorch, to automatically extract intricate patterns and features from the medical images. We use publicly available Kaggle dataset that has 3000 samples, which are divided into two classes tumor and non tumor. This dataset is split into 2400 images for training and 600 images for validation This allows for the creation of a highly discriminative model capable of accurately distinguishing between tumor and non-tumor regions. Our experimental results indicate that our models achieve up to 95.3 classification accuracy for our employed datasets, respectively.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A5056
Paper ID - 261078
Author type - Indian Author
Page Number(s) - j522-j525
Pubished in - Volume 12 | Issue 5 | May 2024
DOI (Digital Object Identifier) -
No Of Downloads - 11
Author Country - India, 201005, ghaziabad, ghaziabad, 201005, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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RUCHIKA YADAV,PARUL SINGH,Dr. Neeta Verma,Vidisha Kumar, "Brain Tumor Detection Using CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.j522-j525, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A5056.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
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International Journal of Creative Research Thoughts (IJCRT)
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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