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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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Paper Title
STENOSIS DETECTION USING DEEP LEARNING
Authors
Padma P, Keerthana S, Pooja A
Keywords
hessian matrix, tensor flow, backtracking algorithm , segmentation , Ubuntu
Abstract
Stenosis is the type of cardiovascular disease which accounts for a large proportion of death. Computed Tomography Angiogram (CTA) modality is used for detection of cardiovascular diseases. CTA produces multiple images and diagnosis of stenosis in large images is time consuming. Hence, we propose an automated system to segment and track the coronary arteries in order to locate abnormalities present in the arteries. To segment the coronary arteries, the vesselness has to be enhanced using a Hessian based approach followed by morphological operators. In tracking, the vessel direction is obtained by modeling the tensors and branches are identified using the masking method. The presence of stenosis is detected while tracking based on intensity measurement and radius variation. The performance of the proposed system has been evaluated by comparing the outcome with the ground truth images given by the experts.
IJCRT's Publication Details
Unique Identification Number - IJCRT2104594
Paper ID - 206365
Page Number(s) - 4950-4954
Pubished in - Volume 9 | Issue 4 | April 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Padma P, Keerthana S, Pooja A, "STENOSIS DETECTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.4950-4954, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104594.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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