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Releases: nadeemlab/DeepLIIF

DeepLIIF 1.2.5

04 Feb 00:00

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  • Fallback to black pixels if failure in reading WSI tile

DeepLIIF 1.2.4

08 Dec 21:19

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  • Revised DeepLIIF model class, allowing for a variable number of modalities to be used for training and inference.

DeepLIIF 1.2.3

30 Oct 20:04

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V1.2.3

Bump setup version number

DeepLIIF 1.2.2

30 Oct 18:35

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  • Draw outlines outside of segmented cells instead of on boundary.
  • Fallback to BioFormats if TiffFile fails in reading WSI tile.

DeepLIIF 1.2.1

25 Jul 21:48

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  • Do not threshold out large noise regions by default.

DeepLIIF 1.2.0

16 Jul 03:30

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  • Update default segmentation weights

DeepLIIF 1.1.15

13 Jul 05:41

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  • Add seg_weights parameter for inference functions

DeepLIIF 1.1.14

07 Jul 04:15

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  • Add knowledge distillation model class
  • Add large noise threshold for postprocessing

DeepLIIF 1.1.13

17 Jun 04:14

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  • Remove OpenSlide dependencies
  • Upgrade default PyTorch version

DeepLIIF 1.1.12

29 May 23:07

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  • Add --seg-only option to create only images necessary for final segmentation, reducing overall run time

  • Add --seg-intermediate option to output intermediate individual modality segmentation maps

  • Add CycleGAN model class

  • Add postprocessing function for individual cell output