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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 5 | Month- May 2024
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Published Paper Details:
Paper Title
PULMONARY CT SCAN IMAGE SEGMENTATION
Authors
Boddu Srivatsa, Gousiya Begum
Keywords
Image Segmentation; U-Net Architecture; Deep Learning
Abstract
For any medical diagnosis, to predict the lung diseases and for medication purposes which are needed to cure or to prevent the lung diseases, medical scans are used in the diagnosis stage. In order to do this, it is a prerequisite step to provide an accurate lung CT image analysis such as lung cancer detection.
Traditional method follows with human interaction where the doctor is supposed to examine the lungs region from the CT scan images of the lung. This may lead to several errors in predicting the disease or in medication that is to be given to the patient.This can be overcome by using the computer technology image segmentation where lung CT scan images can be segmented based on the requirement.
In this project, lung CT image segmentation is proposed by U-Net architecture rather than segmenting with the traditional algorithms which are already implemented.
IJCRT's Publication Details
Unique Identification Number - IJCRT22A6305
Paper ID - 221485
Page Number(s) - c566-c572
Pubished in - Volume 10 | Issue 6 | June 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Boddu Srivatsa, Gousiya Begum, "PULMONARY CT SCAN IMAGE SEGMENTATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.c566-c572, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6305.pdf
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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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