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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Automated Pneumonia Detection From Chest X-Ray Images Using Computer Vision
Authors
Nikhil P,Pooja G,Pavithra S,Sreeji S
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Keywords
Pneumonia , CNN, Vision Transformer, X-ray
Abstract
Pneumonia is the leading cause of death and morbidity in children, and early and accurate diagnosis is essential for timely intervention. In our project, we solve the challenge of separating chest and lung x-rays. To achieve this, we use the power of neural network (CNN) and state-of-the-art transformers. Our method involves the use of a pre-trained CNN model and Vision Transformer to extract complex features from X-ray images, allowing us to identify transformation patterns and defect. We carefully preprocessed the children's chest X-ray image database to ensure that the information was complete and balanced. We have implemented the most efficient and effective testing methods to reduce translation time and cost and improve early detection of childhood pneumonia. Our system is accurate and effective in classifying lung diseases in children; It demonstrates the potential of deep learning and visual interpretation to improve doctors' ability to quickly and accurately diagnose life-threatening diseases.
IJCRT's Publication Details
Unique Identification Number - IJCRT2405112
Paper ID - 259309
Author type - Indian Author
Page Number(s) - b22-b29
Pubished in - Volume 12 | Issue 5 | May 2024
DOI (Digital Object Identifier) -
No Of Downloads - 26
Author Country - India, 680588, Thrissur, Thrissur, 680588, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2405112
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Nikhil P,Pooja G,Pavithra S,Sreeji S, "Automated Pneumonia Detection From Chest X-Ray Images Using Computer Vision", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.b22-b29, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405112.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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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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