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Upgrading

Use pip to upgrade HSF:

pip install -U hsf["your_hardware"]

Maintenance Team

Current maintainers:

@clementpoiret

Changelogs

HSF

Version 1.2.3 (2024-11-17)

  • Switched to Hatchling build backend

Version 1.2.2 (2024-10-29)

  • Updated ROILoc to v0.4.1 (latest ANTs version),
  • Updated dependencies,
  • Added a proper dev env using Nix,
  • Switched from poetry to uv.

Version 1.2.1 (2024-03-29)

  • Added an option to override already segmented mris.
  • Minor fixes and optimizations.

Version 1.2.0 (2024-02-06)

  • Released finetuning scripts,
  • New models trained on more data,
  • Models are now hosted on HuggingFace,
  • Bug fixes and optimizations.

Version 1.1.1 (2022-04-27)

  • Added whole-hippocampus segmentation

Version 1.1.0 (2022-04-25)

  • New optional multispectral mode de segment from both T1 AND T2 images
  • Bug fixes and optimizations

Version 1.0.1 (2021-12-07)

  • Fixed batch size issue

Version 1.0.0 (2021-11-12)

  • Added Uncertainty Maps for post-hoc analysis of segmentation results,
  • Support for DeepSparse backend (CPU inference only),
  • Introduced HSF's Model Hub,
  • Support for batch inference (all backends),
  • Check for updates at startup,
  • Bug fixes and optimizations.

Version 0.1.2 (2021-09-27)

  • Added the possibility to add an offset to the initial bounding box detected by ROILoc,
  • Added the possibility to customize Hardware Execution Providers (defaults to CUDAExecutionProvider and CPUExecutionProvider).

Version 0.1.1 (2021-09-25)

  • Fixed CUDA Execution Provider

Version 0.1.0 (2021-09-24)

  • Initial release

Models

Version 4.0.0 (2024-02-06)

  • New models trained on more data,
  • Models integrate architecture improvements,
  • Models are now hosted on HuggingFace.

Version 3.0.0 (2022-04-24)

  • More data (coming from the Human Connectome Project),
  • New sparse and int8-quantized models.

Version 2.1.1 (2022-03-03)

  • Fixed some tails in 3T CoroT2w images (MemoDev)

Version 2.1.0 (N/A)

  • Corrected incorrect T1w labels used for training,
  • Trained on slightly more data (T1w @1.5T & 3T, T2w; Healthy, Epilepsy & Alzheimer)

Version 2.0.0 (2021-11-12)

  • Trained with more T1w and T2w MRIs,
  • Trained on more hippocampal sclerosis and Alzheimer's disease cases,
  • Updated training pipeline (hyperparameter tuning),
  • single models are now independant from bags.

Version 1.0.0 (2021-09-24)

  • Initial release