XJTU

OpenHI

A digital pathology platform

Screenshot

Introduction

OpenHI – Open Histopathological Image – is an open source platform for digital pathology. Built around digital histology slides, OpenHI can

  • Annotate digital slides according to preset standard.
  • Fluidly view the whole-slide image from various vendors.
  • Provide options to create a list of focused regions.
  • Provide accompanying slide information parsed from GDC XML format.

    • OpenHI is under active development toward with a goal to become the de facto of digital pathology platform.

    Documentation

    The documentation of OpenHI is available at https://bioai.gitlab.io/OpenHI

    Source Code

    Available in our GitLab repository: https://gitlab.com/BioAI/OpenHI

    Our Team

    PhD candidates at XJTU

  • Pargorn Puttapirat
  • Kai He
  • Peiliang Lou
  • Zeyu Gao
  • Jialun Wu

    • Team of XJTU graduate researchers

  • Yuxin Dong
  • Jiangbo Shi
  • Jingyi Deng
  • Bangyang Hong

    • Team of XJTU undergraduate researchers

  • Haichuan Zhang
  • Hongyu He
  • Kaiwen Tang
  • Kun Wang
  • Ling Ye

    • Collaborators

    Pathologists at the First Affiliated Hospital of Xi’an Jiaotong University

  • Guanjun Zhang
  • Chunbao Wang
  • Hui Guo

    • Mayo Clinic, US

  • Lixia Yao
  • Ruifeng Guo

    • Scientific advisors

  • Rui Jiang, Tsinghua University, China
  • Sumitra Thongprasert, Chiang Mai University, Thailand
  • Weiguo Zhu, Peking Union Medical College Hospital, China
  • Xiangrong Zhang, Xidian University, China
  • Xuchao Zhang, Guangdong General Hospital, China