Trainable_Segmentation-3.2.26

Major changes:

• Fix bug in the hyperstack formed when creating a probability map from macro (reported by Arturo Ibáñez).

Trainable_Segmentation-3.2.25

Major changes:

• Add method to apply a classifier on an image using tiles.

Trainable_Segmentation-3.2.24

Major changes:

• Fix bug that allowed using GUI while saving a classifier to file.

Trainable_Segmentation-3.2.23

Major changes:

• Fix bug on the calculation of ImageScience features with anisotropic voxel size.

Trainable_Segmentation-3.2.22

Major changes:

• Fix sigmas in 3D features so they are in voxel units and are adjusted based on the image calibration.
• Fix bug in 3D structure feature to store middle and smallest eigenvalues correctly.
  Special thanks to James Lefevre who pointed out the bugs!

Trainable_Segmentation-3.2.21

Major changes:

• Fix bug when using class names without samples.

Trainable_Segmentation-3.2.20

Major changes:

• Fix bug that was preventing the settings dialog to be displayed after loading a 3D classifier.

Trainable_Segmentation-3.2.19

Major changes:

• Fix bug when loading a classifier trained on features that did not use a sigma.

Trainable_Segmentation-3.2.18

Major changes:

• Allow adding 3D samples programmatically from binary labels.
• Make sure label output is 8-bit.
• Replace autoThreshold() calls by correct thresholding.

Trainable_Segmentation-3.2.17

Major changes:

• Fix bug when using a 3D classifier from script without the GUI.
• Set correctly probability map slice names in all methods.