Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA.
In cell-based research, the process of visually monitoring cells generates large image datasets that need to be evaluated for quantifiable information in order to track the effectiveness of treatments in vitro. With the traditional, end-point assay-based approach being error-prone, and existing comp...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 7; pp. 1419 - 1431 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Jul2020
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| Online Access: | View this record in EBSCOhost |