Automated training data generation for microscopy focus classification
Image focus quality is of utmost importance in digital microscopes because the pathologist cannot accurately characterize the tissue state without focused images. We propose to train a classifier to measure the focus quality of microscopy scans based on an extensive set of image features. However, c...
Κύριοι συγγραφείς: | Gao, D, Padfield, D, Rittscher, J, McKay, R |
---|---|
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
2010
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Automated training data generation for microscopy focus classification.
ανά: Gao, D, κ.ά.
Έκδοση: (2010) -
Spatio-temporal cell segmentation and tracking for automated screening
ανά: Padfield, D, κ.ά.
Έκδοση: (2008) -
Quantitative biological studies enabled by robust cell tracking
ανά: Padfield, D, κ.ά.
Έκδοση: (2011) -
Coupled minimum-cost flow cell tracking
ανά: Padfield, D, κ.ά.
Έκδοση: (2009) -
Coupled minimum-cost flow cell tracking.
ανά: Padfield, D, κ.ά.
Έκδοση: (2009)