Introduction

There is a rapidly growing interest in the analysis of histopathological data and the development of appropriate technology to address the processing and analysis issues associated with it. With the recent advances in whole slide scanning technology digitization of tissue histopathology specimens is rapidly becoming commonplace. Since these specimens are usually orders of magnitude larger than datasets obtained via conventional medical imaging (e.g. MRI, CT, X-ray, Ultrasound), the quantitative analysis and visualization of this data requires specialized and computationally efficient tools.

In August 2007, histopathological image analysis researchers, industrial leaders and clinicians came together in a retreat at Drexel University to discuss this emerging field. Encouraged by the level of interest to this retreat, and strong collaborations and interactions generated among histopathological image analysis researchers, we have organized a series of meetings, usually as part of other established conferences. We organized a special focus session at ISBI 2008 in Paris, and then another workshop as part of MICCAI 2008 in New York City.

This summer (July 6-7, 2009) we are organizing a follow-up workshop at the Ohio State University, Columbus, Ohio. As in our previous meetings, we would like to discuss topics that are at the cutting edge of research and start tackling problems that cannot be solved by any single group alone. The following five topics will be discussed in single-session panels led by leaders of these fields. Additionally, there will be a poster session, where researchers can discuss their research in detail with the attendees. Representatives of the industry will discuss their latest products during these poster sessions.

Topics

  • Challenges: Ground truth generation; Markup and annotation of microscopic images; Evaluation strategies for Histology Segmentation and Classification; Generating a standard test bed; Multi-modal registration.
  • Challenges on the horizon: Multivariate imaging challenges (storage, handling, processing); Cytometric imaging; Staining variation/artifacts
  • Grand Challenges: Systems/integrated with radiology and Omics integrated diagnostics, prognostics, and theragnostics.
  • Data standards in whole slide imaging: Developing protocols for storing and sharing multi-GB whole-slide images
  • Industrial perspective


At the end of this workshop, a white paper will be written to summarize the current challenges, state-of-the art solutions, and future directions.

Venue Info

  • The workshop will be held at the Biomedical Research Tower, 460 W. 12th Ave, The Ohio State University, Columbus, Ohio - 43210.
  • Check-in upon arrival will be held in the lobby of the Biomedical Research Tower.
  • The poster presentations will be held in the lobby of the Biomedical Research Tower.
  • The panel discussions will be held at Room 115 of the Biomedical Research Tower.

Sponsors

Organizers


Metin Gurcan
Ohio State University

Anant Madabhushi
Rutgers University

Michael Feldman
University of Pennsylvania

Nasir Rajpoot
University of Warwick-England