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The volumes of the COMPAY proceedings are now online and free to access until the end of October, 2018


Computational Pathology
embodies the synergy of Digital Pathology, Medical Image Analysis, Computer Vision, and Machine Learning.

The huge amount of information and data available in multi-gigapixel histopathology images makes digital pathology the perfect use case for advanced image analysis techniques. For this reason, deep learning and artificial intelligence have successfully powered computational pathology research in recent years.


SCOPE
COMPAY is the first MICCAI workshop on Computational Pathology.
This full-day workshop aims to bring together scientific researchers, medical experts and industry partners working in the field of computational pathology, in order to push further innovative and clinically relevant solutions for digital pathology. We aim at providing a platform for scientific discussion on computational pathology with a focus on (but not limited to) artificial intelligence and deep learning, which can help foster cooperative projects on an international level.


TOPICS
The scope of the workshop includes, but is not limited to, the following topics:
  • Artificial intelligence and Deep Learning for Computational Pathology
  • Stain normalization/standardization
  • Detection, classification and segmentation of tissue structures (cells, glands etc.)
  • Detection and discovery of predictive and prognostic tissue biomarkers
  • Whole-slide image analysis
  • Registration of whole-slide images
  • Immunohistochemistry scoring
  • Multiplexed staining
  • Unlabeled multiplexing
  • Crowdsourcing for ground truth collection and machine learning applications
  • Applications of computational pathology in the clinic

PAPER SUBMISSION

The workshop will consist of invited talks, oral and poster presentations of accepted peer-reviewed papers, and demos.
We accept submission of 8-page papers (LNCS-Springer format) containing original research on computational pathology (double-blind peer-reviewed papers).
A selection of accepted papers will be published as LNCS proceedings.
Selected papers will be invited to submit an extended version to a special issue on Computational Pathology in a top-tier journal in the area after the workshop.

Submission deadline extended: 11 June 18 June

DEMO SUBMISSION
We invite researchers to give a demo of their software application on computational pathology during the workshop.
Demo proposals should be submitted via the following demo proposal form.
Demos must be restricted to non-commercial applications.




For questions related to the workshop, send an email to francesco.ciompi@radboudumc.nl



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