This conference will address digital and computational pathology, from acquisition of pathology data to its management, analysis, and interpretation by observers. With the recent advances in whole slide scanners and novel instrumentation for multispectral, multiparametric tissue imaging the use of digital pathology data is growing in importance. Both the pre-clinical and clinical modeling of disease states are addressed by the developing field of computational pathology. The evolving concepts of human intelligence-artificial intelligence interactions in our understanding of image data are foundational in computational pathology. There is evidence that digital and computational 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 into the clinical workflow.

Although there has been great progress in the development and application of computational pathology methods over recent years, there are several 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 Quantitative Image Analysis Information Fusion Digital/Computational Pathology and the Pathologist ;
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Conference MI109

Digital and Computational Pathology

This conference has an open call for papers:
Abstract Due: 25 August 2021
Author Notification: 15 October 2021
Manuscript Due: 26 January 2022
This conference will address digital and computational pathology, from acquisition of pathology data to its management, analysis, and interpretation by observers. With the recent advances in whole slide scanners and novel instrumentation for multispectral, multiparametric tissue imaging the use of digital pathology data is growing in importance. Both the pre-clinical and clinical modeling of disease states are addressed by the developing field of computational pathology. The evolving concepts of human intelligence-artificial intelligence interactions in our understanding of image data are foundational in computational pathology. There is evidence that digital and computational 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 into the clinical workflow.

Although there has been great progress in the development and application of computational pathology methods over recent years, there are several 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
  • Correlative microscopy
  • Understanding of image data across scale.
  • 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/Computational 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
Conference Chair
Univ. at Buffalo (United States)
Conference Chair
The Univ. of Western Ontario (Canada)
Program Committee
Bilkent Univ. (Turkey)
Program Committee
Univ. of Michigan Health System (United States)
Program Committee
Univ. of Illinois at Urbana-Champaign (United States)
Program Committee
Ulf-Dietrich Braumann
Fraunhofer-Institut für Zelltherapie und Immunologie IZI (Germany)
Program Committee
The Univ. of Texas Health Science Ctr. at San Antonio (United States)
Program Committee
U.S. Food and Drug Administration (United States)
Program Committee
Penn State College of Medicine (United States)
Program Committee
U.S. Food and Drug Administration (United States)
Program Committee
NEC Labs. America, Inc. (United States)
Program Committee
Rutgers, The State Univ. of New Jersey (United States)
Program Committee
Alton B. Farris
Emory Univ. (United States)
Program Committee
The Univ. of Pennsylvania Health System (United States)
Program Committee
AstraZeneca Pharmaceuticals LP (United States)
Program Committee
Ryerson Univ. (Canada)
Program Committee
Barco N.V. (Belgium)
Program Committee
Emory Univ. School of Medicine (United States)
Program Committee
Univ. of California, Davis (United States)
Program Committee
Univ. de Caen Basse-Normandie (France)
Program Committee
Geert Litjens
Radboud Univ. Medical Ctr. (Netherlands)
Program Committee
Case Western Reserve Univ. (United States)
Program Committee
Derek R. Magee
Univ. of Leeds (United Kingdom)
Program Committee
Sunnybrook Research Institute (Canada)
Program Committee
The Univ. of New South Wales (Australia)
Program Committee
Inspirata, Inc. (United States)
Program Committee
IBM Research (United States)
Program Committee
Lawrence Berkeley National Lab. (United States)
Program Committee
The Univ. of Warwick (United Kingdom)
Program Committee
U.S. Food and Drug Administration (United States)
Program Committee
Univ. at Buffalo (United States)
Program Committee
Amazon Lab126 (United States)
Program Committee
Univ. of Leeds (United Kingdom)
Program Committee
Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Program Committee
Mitko Veta
Technische Univ. Eindhoven (Netherlands)
Program Committee
Sunnybrook Research Institute (Canada)
Program Committee
Rensselaer Polytechnic Institute (United States)
Additional Information

POST-DEADLINE ABSTRACT SUBMISSIONS

  • Submissions accepted through 27-December
  • Notification of acceptance by 12-January

View Call for Papers PDF