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Releases: PolarBean/DeepSlice

DeepSlice 1.2.3

24 May 15:48
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Problem with pinned protobuf prevented package properly installing from PyPi (try saying that 10 times quickly)

DeepSlice 1.2

24 May 15:32
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Allows DeepSlice to use tensorflow 2 and more recent versions of Python.
Thanks to @wjguan for fixing a major model loading bug!

DeepSlice 1.1.7

30 Jan 12:12
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Full Changelog: 1.1.6...1.1.7

DeepSlice 1.1.6

11 Oct 14:44
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Fixes an issue where paths of images could be accidentally saved when on Windows

DeepSlice 1.1.5

07 Aug 15:08
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Added lxml to the dependency list as users have been recieving errors when installing via PyPi. We will phase out XML outputs in the future and then remove lxml.

DeepSlice 1.1.4

03 Aug 11:04
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First release to include a citable doi via zenodo for users who would like to specify the exact version they used.

DeepSlice 1.1.3

28 Jul 11:35
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In this release we have added the ability to auto detect potential outlier sections and to manually specify heavily damaged sections. This allows DeepSlice to weight these sections less when calculating average angle and section number based position.

DeepSlice 1.1.2

27 Apr 09:57
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Added the ability to choose to use a secondary model and fixes a bug with propagating angles when a section is outside of the atlas.

DeepSlice 1.1.1

11 Apr 11:17
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Previous fix hurt performance on the rat model

DeepSlice 1.1.0

11 Apr 08:21
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Switching to the use of the keras Functional API alongside manually specifying an input layer seems to have affected performance negatively. Here we reimplement the Sequential APi and improve an improvement in the performance of the Model.