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Extending 3D Slicer to support ground truth pathology tissue segmentation data for integrated pathology/radiology image analysis competitions.

By Joel Haskin Saltz1, Andrey Fedorov2, Jayashree Kalpathy-Cramer3

1. Stony Brook 2. Brigham and Women's Hospital Harvard Medical School 3. Mass General Hospital

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Abstract

ITCR PI Monthly Meeting January 6, 2017

Collaborative project goal: Improve support in 3D Slicer for pathology imaging, generate high quality, well curated “ground truth” annotations, integrate key aspects of the Stony Brook ITCR project (FeatureDB) into the MGH project and finally host a combined radiology-pathology challenge in the MGH C-BIBOP challenge platform

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Researchers should cite this work as follows:

  • Joel Haskin Saltz; Andrey Fedorov; Jayashree Kalpathy-Cramer (2017), "Extending 3D Slicer to support ground truth pathology tissue segmentation data for integrated pathology/radiology image analysis competitions.," https://ncihub.cancer.gov/resources/2003.

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  1. Cancer imaging
  2. ITCR