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@Borda Borda released this May 14, 2019 · 20 commits to master since this release

Integrate simple image processing like histogram matching and grey-scale images. Adding generated documentation hosted on readthedocs.

Main changes:

  • add pre-processing - hist. match & grey-scale
  • add SoA experiments - DROP
  • add auto api-doc & ipynb examples
  • refactor VTK points; rename .txt -> .pts
  • update package/experiments/scripts
  • refactor parallel proc.
  • minor ANHIR refactor (mails)
  • update setup & CI
Assets 2

@Borda Borda released this Apr 22, 2019 · 28 commits to master since this release

General update related to Automatic Non-rigid Histological Image Registration (ANHIR) challenge participation, handling incomplete datasets and generating rich registration statistic. A notebook with visual comparisons of ANHIR 2019 participants is included.

Main changes:

  • fix export images/landmarks
  • relativize expteriment paths
  • reformat expt. run & returns
  • add affine & elastic transform statistic
  • include weighted TRE
  • redefine (TRE) robustness
  • add hist. matching & SIFT for bUnwarpJ
  • add RNiftyReg & ANTsPy method
  • use YAML configs
Assets 2

@Borda Borda released this Mar 5, 2019 · 48 commits to master since this release

BIRL: Benchmark on Image Registration methods with Landmark validation

The project aims at automatic evaluation of state-of-the-art image registration methods based on landmark annotation for given image dataset. In particular, this project is the main evaluation framework for ANHIR challenge.

Main Features:

  • automatic execution of image registration on a sequence of image pairs
  • integrated evaluation of registration performances
  • integrated visualization of performed registration
  • running several image registration experiment in parallel
  • resuming unfinished sequence of registration benchmark
  • handling around dataset and creating own experiments
  • rerun evaluation and visualisation for finished experiments
Assets 2
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