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Automated cell migration tracking technique: a review
Aow, Yong Li Yew1, Ghazali Sulong2.
Automated cell migration tracking is important in detecting the cell movement in order to
help in cell status analysis especially when there are a huge numbers of cells in one image
frame. Automated cell tracking processes involve detecting, segmentation and labelling
the cell. Each step is crucial and will affect the next step. The common problems are cell
proliferation, overlapping and clustering. Consequently, this review not only focuses on the
overview of current techniques used to complete the cell migration tracking tasks, but also
the comparison of these techniques and some suggested future work(s).
Affiliation:
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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