v1.3.0-alpha

What's Changed

• GBM postop 1p-5p support, added BrainGrid features by @dbouget in #77
• Backend requirements update and support for the cavity class by @dbouget in #78
• Atlas space display by @dbouget in #82
• Exception handling and integration tests by @dbouget in #84

Full Changelog: v1.2.3...v1.3.0-alpha

v1.2.4-rc2

What's Changed

• Atlas space display by @dbouget in #82
• Direct user notification through a pop-up window in case of error/warning in the software/backend.

Full Changelog: v1.2.4-rc1...v1.2.4-rc2

v1.2.4-rc1

What's Changed

• GBM postop 1p-5p support, added BrainGrid features by @dbouget in #77
• Backend requirements update and support for the cavity class by @dbouget in #78

What's to come

• More complete post-operative package, including edema and cavity classes, for GBM and LGG
• Better handling of model selection (when multiple inputs and/or multiple timestamps)
• New models (after BraTS 2024)

Full Changelog: v1.2.3...v1.2.4-rc1

v1.2.3

What's Changed

• Moving the models list to Github from Google Drive by @dbouget in #71
• CI update by @dbouget in #72
• Fix for models download by @dbouget in #73
• Added quick-fix for loading radiological volumes with intensity range limited to [0, 255].
• Deprecated Python 3.7, building on Python 3.8

Full Changelog: v1.2.2...v1.2.3

v1.2.2

What's Changed

• Support for multiclass segmentation following the BraTS challenge (i.e., necrosis, contrast-enhancing tumor, and edema).
  For now, only in-house models trained on the 2023 BraTS challenge are supported (available for gliomas, meningiomas, and metastases), expecting four MR scans as input (T1w, T1w-ce, FLAIR, and T2).
• Software settings panel adjustment to switch between single-class or multiclass output (Settings > Preferences > Processing - Segmentation > Output classes)

Changelog

• Added simple GUI launch test to CIs by @andreped in #57
• Added GUI launch test in the CIs by @dbouget in #58
• Opencv removal from rt-utils backend by @dbouget in #60
• Minor README refactoring by @andreped in #61
• Brain tumor multiclass segmentation by @dbouget in #62
• Updating build version to Python3.8 by @dbouget in #63
• GUI unit test on Unix systems by @dbouget in #64

Full Changelog: v1.2.1...v1.2.2

v1.2.1

What's Changed

• Support for saving segmentation results as DICOM RTStruct.
• Included post-segmentation refinement options (e.g., inducing over-segmentation by a set margin).
• Improvement to the Settings panel.

Changelog

• Added feature request issue template by @andreped in #37
• Major README refactoring + citation update by @andreped in #46
• Fix: Only bundle one python version; upgraded PyInstaller version by @andreped in #47
• Fixed PySide6 bug during program launch; upgraded PySide6 version by @andreped in #48
• Renamed ARM CI; renamed macOS packages; added ARM CI badge to README by @andreped in #50
• Upgrade opencv-python==4.5.5.64 [no ci] by @andreped in #52
• Fixed CI badge hyperlinks by @andreped in #53
• Badge status updates on all CI run events by @andreped in #54
• Improved citation section in README [no ci] by @andreped in #55

Full Changelog: v1.2.0...v1.2.1

v1.2.0

What's Changed

1. Logic

   • Inference backend swapped from TensorFlow to ONNX Runtime.
   • All segmentation models have been re-trained using a patch-wise approach (160x160x160 voxels) for boosting recall performance, keeping the same AGU-Net architecture.
   • Ealry post-operative glioblastoma rest tumor segmentation has been included.
   • Surgical standardized reporting included for glioblastoma containing pre-/post-operative volumes and extent of resection assessment.

2. GUI

   • Overall 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., pre-operative and post-operative).
   • Improvement for the study/batch mode to hold and display all patients' statistics, and export them to csv.
   • 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.
   • C++ ANTs backend usage for Linux and Mac versions, which in theory provides similar registration results as the Python-wrapped version (used for the Windows version).
   • All trained models are now hosted on GitHub rather Google Drive.

• Refactored build setup by @andreped in #32
• updated ICO and ICNS logos by @andreped in #35
• Remove .raidionics/ directory during install and uninstall for Windows by @andreped in #36

Full Changelog: v1.1.0...v1.2.0

v1.2.0-beta

What's Changed

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 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, and export them to csv.
   • 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.

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

v1.2.0-alpha

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

v1.1.0

What's Changed

• Complete overhaul of the GUI for better and more intuitive user-experience.
• Created backend libraries for the core processing.
• Scalable batch mode support.
• Fixed several bugs when installing software across all operating systems.
• Added tutorials in wiki tab.

Full Changelog: v1.0.0...v1.1.0