{"id":28481601,"url":"https://github.com/insightsoftwareconsortium/itkgrowcut","last_synced_at":"2025-07-04T20:30:43.996Z","repository":{"id":38222999,"uuid":"360231626","full_name":"InsightSoftwareConsortium/ITKGrowCut","owner":"InsightSoftwareConsortium","description":"ITKGrowCut is a remote module for ITK. 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The main filter segments a 3D image from user-provided seeds.\n\nThe original idea was presented by `Vezhnevets and Konouchine\n\u003chttps://www.graphicon.ru/html/2005/proceedings/papers/VezhntvetsKonushin.pdf\u003e`_:\n\n | Vladimir Vezhnevets and Vadim Konouchine:\n | “GrowCut” – interactive multi-label N-D image segmentation by cellular automata.\n | In: Proc. Graphicon. (2005) 150–156\n\nIn 2011 Harini Veeraraghavan of Memorial Sloan Kettering Cancer Center provided an `implementation based on ITK\n\u003chttps://github.com/Slicer/SlicerGitSVNArchive/blob/master/Libs/vtkITK/itkGrowCutSegmentationImageFilter.txx\u003e`_.\n\nIn 2014, Zhu et al. presented an `efficient approximation\n\u003chttps://robobees.seas.harvard.edu/files/nac/files/zhu-miccai2014.pdf\u003e`_:\n\n | Liangjia Zhu, Ivan Kolesov, Yi Gao, Ron Kikinis, Allen Tannenbaum.\n | An Effective Interactive Medical Image Segmentation Method Using Fast GrowCut\n | International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),\n | Interactive Medical Image Computing Workshop, 2014\n\nZhu et al. also provided an open source implementation as a Slicer plugin, `based on VTK\n\u003chttps://github.com/ljzhu/FastGrowCut\u003e`_.\nSince then, their implementation was integrated into Slicer, `refactored and improved\n\u003chttps://github.com/Slicer/Slicer/blob/1a692bf36e9c99c47661fbf5fdba0fd3c3e72f95/Modules/Loadable/Segmentations/Logic/vtkImageGrowCutSegment.cxx\u003e`_.\nIn this remote module we are building upon the improved variant from Slicer.\n\n\nAcknowledgements\n----------------\n\nThis software was developed in part by the Center for Integrative Biomedical Computing (CIBC), the\n`Scientific Computing and Imaging (SCI) Institute \u003chttps://www.sci.utah.edu/cibc\u003e`_ and\n`Kitware \u003chttps://www.kitware.com\u003e`_.\n\nSupport came from the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH)\nunder grant numbers P41 GM103545 and R24 GM136986.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finsightsoftwareconsortium%2Fitkgrowcut","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finsightsoftwareconsortium%2Fitkgrowcut","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finsightsoftwareconsortium%2Fitkgrowcut/lists"}