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v1.2.0-alpha

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@dbouget dbouget released this 18 Oct 09:52
· 145 commits to master since this release
v1.2.0-alpha
3386eee

What's Changed (planned for the final release)

  1. Logic

    • Inference backend swapped from TensorFlow to ONNX Runtime.
    • All segmentation models have been re-trained using a patch-wise approach for boosting recall performance, keeping the same AGU-Net architecture.
    • Postoperative rest tumor segmentation has been included together with postoperative clinical reporting including extent of resection assessment.

  2. GUI

    • Overall color palette updated, better consistency for widgets design overall, use of icons from Figma, new software logo.
    • Possibility to load patient data corresponding to multiple timestamps (e.g., preoperative and postoperative).
    • Improvement for the study/batch mode to hold and display all patients' statistics.
    • Redesign of the single patient mode to allow for multiple timestamps, and a dedicated actions tab.
    • User preferences/settings widget storing convenience choices regarding segmentation and reporting.

  3. Deployment

    • Support for Apple M1 Chip computers, using the C++ ANTs backend, which in theory provides similar registration results as the Python-wrapped version.

N-B: the latest segmentation models, including the post-operative segmentation model, will only be available in the official release.

Full Changelog: v1.1.0...v1.2.0-alpha

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