InsightSoftwareConsortium/ITK: ITK 5.4.2
Notice bibliographique
Résumé
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)
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,007 | 0,009 |
| Science ouverte | 0,005 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,453 | 0,600 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».