Releases: neuroneural/brainchop
brainchop-v4.1.0
brainchop-v4.0.0
Release Notes
Version 4.0.0
We are thrilled to welcome Chris Rorden (@neurolabusc) and Taylor Hanayik (@hanayik) as new contributors to brainchop. Special thanks to them for their main contributions to version 4. (67396d2).
Release supervision: @sergeyplis
Merging and configuration: @Mmasoud1
New Features
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Integration of the NiiVue viewer for loading and visualization. This allows drag and drop support for voxel formats including NIfTI, NRRD, MRtrix MIF, AFNI HEAD/BRIK, MGH/MGZ, ITK MHD, ECAT7 as well as limited DICOM support.
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Allows models to be run either on the main thread (as before) or a web worker
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Allows classifications to be edited by drawing to append or erase voxels.
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Allows entires scenes (images, classification results, contrast, crosshair position, drawings) to be saved as NiiVue documents that can be opened anywhere.
Enhancements
- Refactoring for improved performance
- Optimized pre and post-processing steps
- Removes the Python dependencies (pyodide) for the conform function, and replaces this function with native JavaScript.
- Reduces static memory usage.
- Dramatically reduces peak heap memory usage (for low memory 104 region model the reduction is x173).
brainchop-v3.4.0
In v3.4.0, following fixes has been added :
- 2x speedup for sequential low memory models (2e555f4)
brainchop-v3.3.0
In v3.3.0, following fixes has been added :
- Accelerate connected components post processing (89a01c9)