1 research outputs found
OpenHI2 -- Open source histopathological image platform
Transition from conventional to digital pathology requires a new category of
biomedical informatic infrastructure which could facilitate delicate
pathological routine. Pathological diagnoses are sensitive to many external
factors and is known to be subjective. Only systems that can meet strict
requirements in pathology would be able to run along pathological routines and
eventually digitized the study area, and the developed platform should comply
with existing pathological routines and international standards. Currently,
there are a number of available software tools which can perform
histopathological tasks including virtual slide viewing, annotating, and basic
image analysis, however, none of them can serve as a digital platform for
pathology. Here we describe OpenHI2, an enhanced version Open Histopathological
Image platform which is capable of supporting all basic pathological tasks and
file formats; ready to be deployed in medical institutions on a standard server
environment or cloud computing infrastructure. In this paper, we also describe
the development decisions for the platform and propose solutions to overcome
technical challenges so that OpenHI2 could be used as a platform for
histopathological images. Further addition can be made to the platform since
each component is modularized and fully documented. OpenHI2 is free,
open-source, and available at https://gitlab.com/BioAI/OpenHI.Comment: Preprint version accepted to AIPath2019 workshop at BIBM2019. 6
pages, 3 figures, 2 table