An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management.

@article{Martel2017AnIA,
  title={An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management.},
  author={Anne L. Martel and Dan Hosseinzadeh and Çaglar Senaras and Yu Zhou and Azadeh Yazdanpanah and Rushin Shojaii and Emily S. Patterson and Anant Madabhushi and Metin N. Gurcan},
  journal={Cancer research},
  year={2017},
  volume={77 21},
  pages={
          e83-e86
        }
}
  • Anne L. Martel, Dan Hosseinzadeh, +6 authors Metin N. Gurcan
  • Published 2017
  • Medicine
  • Cancer research
  • Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored project intended for managing, annotating, sharing, and quantitatively analyzing digital pathology imaging data. It expands on an existing, freely available pathology image viewer, Sedeen. The goal of this project is to develop and embed some commonly used image analysis applications into the Sedeen viewer to create a freely available resource for the digital pathology and cancer research communities. Thus far, new plugins have… CONTINUE READING

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