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FitEllipsoid : a fast supervised ellipsoid segmentation plugin

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Institut des Technologies Avancées en sciences du Vivant (ITAV); Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS); Institut de Mathématiques de Toulouse UMR5219 (IMT); Université Toulouse Capitole (UT Capitole); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse); Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J); Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS); Plan Cancer, MIMMOSAFondation Toulouse Cancer Santé
    • بيانات النشر:
      CCSD
      BioMed Central
    • الموضوع:
      2019
    • Collection:
      Université Toulouse 2 - Jean Jaurès: HAL
    • نبذة مختصرة :
      International audience ; We propose a supervised segmentation algorithm dedicated to fitting ellipsoids in 3D images with a minimal amount of user inputs. Its computational core is based on an original approach to fit ellipsoids to point clouds in an affine invariant manner. The algorithm estimates the fitting ellipsoid in a small number of cheap iterations. The code is distributed as an open-source plugin to be used within the image analysis software Icy. Computational experiments show that collections of nuclei in fluorescence microscopy images can be segmented much faster than with more traditional 2D delineation approaches.
    • الرقم المعرف:
      10.1186/s12859-019-2673-0
    • الدخول الالكتروني :
      https://hal.science/hal-01520337
      https://hal.science/hal-01520337v2/document
      https://hal.science/hal-01520337v2/file/fitellipsoid_bmc.pdf
      https://doi.org/10.1186/s12859-019-2673-0
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.4BA98D22