Bibliographic record
Abstract
We are pleased to announce the release of ITK 5.4.2, the latest maintenance update for this cross-platform, open-source toolkit supporting N-dimensional scientific image analysis with spatially-aware algorithms. 🎉 🍻 🥳 This patch release addresses several key issues identified since ITK 5.4.0 while maintaining API stability. 🔦 Highlights As a maintenance update following 5.4.0, version 5.4.2 incorporates critical improvements including: Enhanced Label Map Handling: Improved unique label map filter behavior for segmentation workflows Modern Library Support: Updated compatibility with recent libtiff versions Large Data Optimization: Expanded VectorImage support for high-dimensional datasets Performance Improvements: Fixed thread-based parallelism in SLIC filter implementations Cross-Platform Enhancements: Build system updates and compiler compatibility fixes A full list of changes can be found in the changelog below. 🔢 Versioning Note This release follows 5.4.0 directly, as the intermediate 5.4.1 patch was reserved for an urgent hotfix that required immediate distribution prior to full release documentation. For comprehensive details on ITK 5.4.0, please review the ITK 5.4.0 Release Notes. 💾 Download Python Packages Install ITK Python packages with: pip install itk Guide and Textbook InsightSoftwareGuide-Book1-5.4.2.pdf InsightSoftwareGuide-Book2-5.4.2.pdf Library Sources InsightToolkit-5.4.2.tar.gz InsightToolkit-5.4.2.zip Testing Data Unpack optional testing data in the same directory where the Library Source is unpacked. InsightData-5.4.2.tar.gz InsightData-5.4.2.zip Checksums and Signatures InsightToolkit-5.4.2.tar.gz.asc InsightToolkit-5.4.2.zip.asc InsightData-5.4.2.tar.gz.asc InsightData-5.4.2.zip.asc MD5SUMS SHA512SUMS 🙏 Congratulations Congratulations and thank you to everyone who contributed to this release. 🗣️ What's Next ITK 6 Preparation The development community is currently focused on delivering ITK 6, a major modernization release featuring: Architectural upgrades for contemporary C++ development Enhanced template metaprogramming capabilities Streamlined build system configurations Early access builds (alpha/beta releases) will become available during ongoing 5.4.x maintenance, enabling parallel evaluation of new features while maintaining production stability. 5.4 Maintenance Commitment We remain dedicated to supporting current users through: Regular security and regression patches Critical bug resolution Platform compatibility updates Enjoy ITK! ITK Changes Since v5.4.0 Andras Lasso (1): Enhancements Backport libtiff fix of not displaying warning for unknown tags (15e47178d6) Brad King (1): Platform Fixes itktiff: Suppress C99 inline only on MSVC from VS 2013 and below (6025654de3) Bradley Lowekamp (11): Enhancements A GTest for LabelUniqueLabelMapFilter (47eec5a2a2) Download x86 clangformat on Darwin arm64 (ee6bc26281) remove repetitive monochorme1 warning (80a172e8c2) Documentation Updates Correct Documentation for PadImageFilter::SizeGreatestPrimeFactor (276a52a5c0) Bug Fixes Check output of StatisticsUniqueLabelMapFilterTest1 (8f32d71c8a) Address bugs in unique label map filters (00bfdb80e7) Remove dilation output in test (790af9eba0) Address race condition in SLIC filter (bbf9f17a40) Enable system TIFF with modern TIFF and cmake (7b83336a7e) Remove SpatialObjectProperty's writable string methods from SWIG (efe773f555) Fix 32-bit truncation on VectorImage Accessors (ee63f5eba3) Dženan Zukić (1): Platform Fixes Get ITK_USE_FLOAT_SPACE_PRECISION=ON to compile again (e816336468) Hans Johnson (1): Platform Fixes macOS-11 Azure CI environment EOL (e5de32ad02) Matt McCormick (25): Enhancements Initial pixi configuration (e2eef2d73d) Add Pixi dev environment (5037e7447c) Add Pixi GitHub Actions Configuration (bb705e50eb) Add Pixi python-exe and python-exe-debug tasks (73841d0a89) Python dispatch on the first RequiredInputName (8185e10aab) Add Pixi osx-64 configuration (84a8386daa) Add Intel Mac to Pixi GitHub Action tests (7d759f2e4e) Add Pixi mac ARM configuration (0306e8e654) Add ARM Mac to Pixi GitHub Action tests (78a6cb7ca4) Bump ITK version to 5.4.2 (898def6451) Documentation Updates Update .zenodo (a890386f7d) Improve itk_hdf5_mangle.h.in instructions (c595d0b26b) Document development with Pixi (1b75686e2c) Updates for release testing data uploads (9a3a8d2961) Platform Fixes Set CastXML flag based on CMAKE_CXX_STANDARD (9ebd1d6ff9) Remove unused setuptools upgrade in Linux builds (2734a97318) Bump ITKTotalVariation remote module (da08898f21) Use .clang-format from release-5.4 branch (6d3e550ba6) Bug Fixes Move InputSpaceName, OutputSpaceName from Transform to TransformBase (107e3ad040) Update HDF5 name mangled symbols (be7d38694c) Fix pixi caching of Python Debug builds (0967a50721) GenerateImageSource sets Size from ReferenceImage (c54f1b1a2b) Style Changes clang-format fixes to itkSLICImageFilter.hxx (d8614fa2c4) clang-format updates to itkGridImageSourceTest2.cxx (a54a6455e3) Mihail Isakov (1): Bug Fixes Fix ExposeMetaData > im MetaImageIO (087a1c4fb0) Niels Dekker (3): Enhancements Add nested CoordinateType aliases as alternative to CoordRepType (bdfd0c2207) Add ...CoordinateType aliases as alternative to ...CoordRepType (be27beb8cb) Bug Fixes QuadEdgeMeshPoint should be properly initialized by {} (ef7521d2bd) Ziv Yaniv (1): Bug Fixes Missing writing of the nifti descrip field. (9749611e77) ITK Software Guide Changes Since v5.4.0 Dženan Zukić (2): Documentation Updates Fix a typo in CreateAModule chapter (1d04a60) Update supported compiler version information (95b46fe) Matt McCormick (3): Enhancements Bump ITK version to v5.4.0 (c722c6a) Documentation Updates Update ITK logo (d341bad) Update single PDF cover page for ITK 5.4.0 (0e3ae9e) Niels Dekker (3): Enhancements Add section "Initializing variables of fixed size array types" (f10846c) Documentation Updates Describe ITK_DEFAULT_COPY_AND_MOVE (8430b42) Platform Fixes Replace backticks with \code{} in Initialization and Assignment (5246e64) Remote Module Changes Since v5.4.0 TotalVariation: Jon Haitz Legarreta Gorroño (1): Enhancements Transition project configuration to pyproject.toml (ad32c14) Matt McCormick (4): Enhancements Bump CI configuration for ITK 5.4.0 (2e7bcbe) Platform Fixes Change from FetchContent_Populate to FetchContent_MakeAvailable (a5484bd) Add find_package(OpenMP) to module export code (a8ba12c) Bug Fixes Bump Python package version for re-deploy (9f6654d)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.453 | 0.600 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".