Town & Country Resort and Convention Center
San Diego, California, United States
16 - 21 February 2019
Conference MI109
Digital Pathology
This conference is no longer accepting submissions.
Late submissions may be considered subject to chair approval. For more information, please contact Lillian Dickinson.
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Abstract Due:
8 August 2018

Author Notification:
15 October 2018

Manuscript Due Date:
23 January 2019

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Conference Chairs
Program Committee
Program Committee continued...
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This conference will address digital pathology, from acquisition of pathology data to its management, analysis, and interpretation by observers. The use of digital pathology data, by both the human and computer, is growing in importance with the recent advances in whole slide scanners and novel instrumentation for multispectral, multiparametric tissue imaging. There is evidence that digital pathology can improve diagnosis and grading of cancer and other pathology tasks, but there are still limitations and challenges that must be addressed before it can be fully incorporated in the clinical workflow.

Although there has been great progress in the development and application of digital pathology over recent years, there are a number of significant computational challenges specific to pathology imaging that distinguish it from its radiological counterpart. There are also unique challenges in terms of how digitized pathology specimens and correlated data are presented to, modified and interpreted by clinicians and computers.

We invite submissions that address specific problems related to image acquisition, display, interpretation, computer-aided diagnosis, and quantitative image analysis of pathology specimens. We particularly welcome contributions that identify and address challenges encountered in digital pathology imaging as well as in new approaches for image capture and analysis.

TOPIC AREAS: For this conference only
During the submission process, you will be asked to choose no more than three topics from the following list to assist in the review process.

Image Acquisition, Storage and Display
  • Acquisition, storage, display and processing of digital microscopy images
  • Image mosaicking of nontraditional near-real-time microscopy (OCT, confocal)
  • Multispectral imaging
  • High-dimensional multiplexed staining and imaging of tissues
  • Multi-focus volume imaging
  • Compression
  • Methodologies for the objective technical assessment of digital pathology systems including color calibration
  • Whole slide imaging
  • Strategies for data storage and remote processing
Quantitative Image Analysis
  • Computer-aided diagnosis, prognosis and predictive analysis
  • Automated quantification of tissue biomarkers
  • Grading and classification of pathology images
  • Segmentation of cellular and tissue structures
  • Shape analysis and morphology in pathology imaging
  • Architectural feature extraction and quantification
  • Multispectral- and volume-based segmentation
  • Content-based image retrieval
  • High-performance computing for whole-slide tissue image analysis
  • Multi-stain and multiplexed image analysis
  • Machine learning trends in digital pathology: handcrafted features versus deep learning
Information Fusion
  • Radiology-pathology registration and fusion
  • Registration of multiple stained tissue microscopy images
  • Integration of digital image features with ‘omics’ data for fused diagnostics
Digital Pathology and the Pathologist
  • Observer performance, human factors, reading strategies, and diagnostic interpretation issues
  • Remote consultation
  • Metrics, variability and standardization issues unique to digital pathology
  • Methodologies for the objective technical assessment of digital pathology systems
  • Optical probe tracking and visualization tools
  • PACS and new DICOM standards for histopathology
  • Making the case for clinical digital pathology systems in pathology practice
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