Skip to main content

Table 1 The set of 82 features is grouped into nine categories

From: Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo

 

Feature group

Number of features

1

Absolute time index

1

2

Ages

3

3

Diameters

3

4

Distances

15

5

Normalized nucleus support

39

6

Angles

5

7

GFP signals

6

8

Number of nuclei at a given time

1

9

Coordinates

9

 

Total

82