UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010513


Registration ID:
306515

Page Number

3904-3908

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Title

Application of Image Segmentation on Reconstructed Images

Authors

Abstract

This paper suggest a completely automated and efficient method for practical reconstruction of the 3D brain tumor model. Reconstruction of segmentation and 3D volume in medical imaging is a method that enables diagnostic optimization, and can also facilitate the specialist in qualitative and quantitative research. In diverse uses such as modeling, quantitative analysis and image-guided surgery, it's an essential step. For clinical planning, detection and quantification including such volume measurements, 3D segmentation of the pathology and healthy structures is absolutely critical. Detailed segmentation of pathological constructs is a challenging task, since brain tumors differ significantly in size and location and may interfere with normal tissue and consume area..

Key Words

Tomography, Discrete Tomography, Total Variation Regularized Discrete Algebraic Reconstruction Techniques, Compressed Sensing.

Cite This Article

"Application of Image Segmentation on Reconstructed Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.3904-3908, October 2020, Available :http://www.jetir.org/papers/JETIR2010513.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Application of Image Segmentation on Reconstructed Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp3904-3908, October 2020, Available at : http://www.jetir.org/papers/JETIR2010513.pdf

Publication Details

Published Paper ID: JETIR2010513
Registration ID: 306515
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 3904-3908
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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