Histopathology Image Analysis

The registration quotas allotted to workshop attendees are filling up quickly. Since space for the HIMA Workshop is limited, we encourage you to register ASAP at the MICCAI registration page.

Analysis of histopathology images is growing in importance with the recent advent of whole slide imaging scanners. Automated analysis of patterns obtained with microscopic imaging is improving diagnosis and grading of cancer and other diseases, for instance in histopathology using multi-staining and multi-spectral techniques.

Although there has been great progress in the development and application of image analysis in biomedicine over the recent years, there are a number of significant challenges specific to tissue imaging.

We invite submissions that address specific problems related to imaging and image analysis of tissue specimens. We particularly welcome contributions that identify or address challenges for the mainstream approval of automated histology imaging and in situ in vivo image analysis, or provide solutions to the related problems such as mosaicing, and multispectral analysis.

Audience

This workshop aims to bring together clinicians, computer scientists and industrial vendors of digital pathology equipments to discuss (1) the clinical challenges and open problems, (2) present the state-of-the-art research in quantitative image analysis and visualization methods for digital pathology, diagnosis, and prognosis from H&E and IHC stained, multi-parametric imaging, (3) advances in data fusion methods between pathology and other disciplines (including radiology, genomics, and proteomics), and (4) advances in whole slide tissue and multi-spectral imaging technology.. The workshop also aims to acquaint clinicians, oncologists, and pathologists (attendees at previous MICCAI versions of this workshop) on the role that quantitative and automated image analysis can play in automated diagnosis, prognosis, and treatment planning and also for imaging scientists to understand the most pressing clinical problems. Where appropriate, talks will also provide a thorough introduction to novel imaging techniques and their diagnostic capabilities and create new connections and focus academic effort within the MICCAI community.

A related tutorial on digital pathology at MICCAI 2008 and a workshop on image analysis in the context of optical imaging and histopathology in MICCAI 2009 were both overbooked. We anticipate (a minimum) of 30-40 participants.

Topics

Topics of interest include, but are not limited to:

• Acquisition, storage, and processing of microscopy, histology, and endoscopy images
• Registration of multiple-stained tissue microscopy images
• Registration histopathology and radiological imaging modalities
• Shape analysis and morphology in tissue imaging
• Grading and Classification of histology images
• Content based image Retrieval, semantic annotation, and visualization of histology image databases
• Image mosaicing of microscopic endoscope images (OCT, microconfocal)
• Optical based probe tracking and visualisation tools
• Multispectral optical endoscope dimensionality reduction, manifold learning and image analysis
• Computer-aided diagnosis and prognosis
• Segmentation and modelling of structures in histology images

Format

The workshop will integrate elements of both a traditional workshop (oral talks and posters)along with a panel discussion including members from the academic, clinical, and industrial pathology fraternities on the challenges and opportunities in digital pathology and histological image analysis. Depending on the number of submissions we anticipate having both oral presentations along with poster presentations. The decision for oral or poster will be based on peer review based ranking of the paper submissions. Short plenary talks will be given by the following speakers.

• Peter Hamilton from Queen University of Belfast, Ireland
• Martin Yaffe from Sunnybrook Research Institute, Toronto, Canada