A flexible, open, decentralized system for digital pathology networks.

Robert Schuler, David E Smith, Gowri Kumaraguruparan, Ann Chervenak, Anne D Lewis, Dallas M Hyde, Carl Kesselman
Author Information
  1. Robert Schuler: Information Sciences Institute, University of Southern California, CA, USA.

Abstract

High-resolution digital imaging is enabling digital archiving and sharing of digitized microscopy slides and new methods for digital pathology. Collaborative research centers, outsourced medical services, and multi-site organizations stand to benefit from sharing pathology data in a digital pathology network. Yet significant technological challenges remain due to the large size and volume of digitized whole slide images. While information systems do exist for managing local pathology laboratories, they tend to be oriented toward narrow clinical use cases or offer closed ecosystems around proprietary formats. Few solutions exist for networking digital pathology operations. Here we present a system architecture and implementation of a digital pathology network and share results from a production system that federates major research centers.

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Grants

  1. SP51 RR000163/NCRR NIH HHS
  2. P51 RR000163/NCRR NIH HHS
  3. U24 RR025736-01/NCRR NIH HHS
  4. U24 RR025736/NCRR NIH HHS
  5. U24 RR026057/NCRR NIH HHS
  6. 3U24RR025736-01S1/NCRR NIH HHS

MeSH Term

Humans
Information Dissemination
Information Storage and Retrieval
Internet
Medical Informatics
Radiology Information Systems
Signal Processing, Computer-Assisted
Telepathology

Word Cloud

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