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URL: https://github.com/BRAINSia/BRAINSTools/tree/master/BRAINSCut
Proper Citation: BRAINSCut (RRID:SCR_000861)
Description: A software package for segmentation of structures using automated neual networks. This is the reference implementation using NAMIC software development best practices and the Insight Toolkit of the paper Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures. (PMID: 17904870). The program uses the Slicer3 execution model framework to define the command line arguments and can be fully integrated with Slicer3 using the module discovery capabilities of Slicer3.
Abbreviations: BRAINSCut
Resource Type: data processing software, image analysis software, segmentation software, software application, software resource
Keywords: magnetic resonance
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: BRAINSCut
Resource ID: SCR_000861
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
