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June-2019
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
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UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1908281
Registration ID:
225462
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Title
LUNG NODULE DETECTION USING ADAPTIVE THRESHOLDING
Authors
Abstract
Lung cancer is one of the most common types of cancer. This article focuses on the detection of early stage lung cancer. Pulmonary nodules generally act as the early stage characterization of lung cancer. In this article, a new method is presented for the detection, segmentation and classification of pulmonary nodules using computed tomography (CT) images.
Key Words
Computed Tomography, Nodule detection, Segmentation.
Cite This Article
"LUNG NODULE DETECTION USING ADAPTIVE THRESHOLDING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.834-840, June 2019, Available :http://www.jetir.org/papers/JETIR1908281.pdf
ISSN
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
"LUNG NODULE DETECTION USING ADAPTIVE THRESHOLDING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp834-840, June 2019, Available at : http://www.jetir.org/papers/JETIR1908281.pdf
Publication Details
Published Paper ID: JETIR1908281
Registration ID: 225462
Published In: Volume 6 | Issue 6 | Year June-2019
Page No: 834-840
Country: Tumkur, Karnataka, , India. .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1908281
Published Paper PDF: https://www.jetir.org/papers/JETIR1908281
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