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	59290.	English:		Python bindings to various neuroimaging data formats
				Summary
Current French:				Liaisons Python pour différents formats de données de neuro-imagerie
				Translated and reviewed by Pierre Slamich on 2013-07-21
				Located in Package: python-nibabel
	59291.	English:		This package also provides a commandline tools:
				Description
Current French:				(no translation yet)
				Located in Package: python-nibabel
	59292.	English:		- dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images
				Description
				represents a line break. Start a new line in the equivalent position in the translation.
				represents a space character. Enter a space in the equivalent position in the translation.
Current French:				(no translation yet)
				Located in Package: python-nibabel
	59293.	English:		documentation for NiBabel
				Summary
Current French:				documentation pour NiBabel
				Translated and reviewed by Pierre Slamich on 2014-04-13
				Located in Package: python-nibabel-doc
	59294.	English:		NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.
				Description
Current French:				NiBabel permet de lire et écrire quelques formats médicaux communs et de neuro-imagerie, dont ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, ainsi que PAR/REC. Les diverses classes de format d’image procurent un accès total et sélectif aux (méta)informations d’en-tête et l’accès aux données d’image est rendu disponible à travers des tableaux de NumPy. NiBabel est le successeur de PyNIfTI.
				Translated by Łukasz Zemczak on 2024-04-23
				Located in Package: python3-nibabel Package: python-nibabel-doc
	59295.	English:		Python binding for libnids (aka pynids)
				Summary
Current French:				Liaison Python pour libnids (pynids)
				Translated and reviewed by Pierre Slamich on 2013-07-21
				Located in Package: python-nids
	59296.	English:		This package is commonly known as pynids. It is a Python wrapper for the libnids packet capture analysis library, a Network Intrusion Detection System library offering sniffing, IP defragmentation, TCP stream reassembly and TCP port scan detection.
				Description
Current French:				(no translation yet)
				Located in Package: python-nids
	59297.	English:		Python interface to the NIfTI I/O libraries
				Summary
Current French:				Interface Python pour bibliothèques d'entrée-sortie NIfTI
				Translated by Michael Vogt on 2008-08-12
				Located in Package: python-nifti
	59298.	English:		Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays.
				Description
Current French:				En utilisant PyNIfTI, on peut facilement lire et écrire des images aux formats NIfTI et ANALYZE depuis Python. La classe NiftiImage fournit un accès à la manière de Python à toutes les informations des en-têtes. Les données sont disponibles dans des tableaux NumPy.
				Translated by Michael Vogt on 2008-08-12
				Located in Package: python-nifti
	59299.	English:		NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies
				Description
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Current French:				(no translation yet)
				Located in Package: python3-nipy

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