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May-2022
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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JETIR2205071
Registration ID:
400132
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Title
Cell Segmentation using Deep Learning
Abstract
Several applications, such as cancer research and drug development, rely on the automatic and reliable characterization of cells in cell cultures. Automated algorithms for segmenting and analyzing cells in microscopy pictures have been created in light of current developments in light microscopy and the necessity for precise and high-throughput cell analysis. Despite this, accurate, general, and robust whole-cell segmentation is still required to accurately characterize its morphological characteristics, phenotypes, and sub-cellular dynamics.
Key Words
Cell segmentation, Deep learning, Computer Vision, Medical
Cite This Article
"Cell Segmentation using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.a539-a543, May-2022, Available :http://www.jetir.org/papers/JETIR2205071.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
"Cell Segmentation using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppa539-a543, May-2022, Available at : http://www.jetir.org/papers/JETIR2205071.pdf
Publication Details
Published Paper ID: JETIR2205071
Registration ID: 400132
Published In: Volume 9 | Issue 5 | Year May-2022
Page No: a539-a543
Country: Noida, Uttar Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2205071
Published Paper PDF: https://www.jetir.org/papers/JETIR2205071
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