Computational Pathology

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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. Recent scientific events on computational pathology, such as the MICCAI 2018 workshop on Computational Pathology (COMPAY), the European Conference on Digital Pathology (ECDP), the Computational Pathology Symposium at the European Conference of Pathology (ECP), among others, have generated a substantial pool of original research work in this discipline.

The goal of this special issue is to attract and highlight the latest developments in computational pathology, and feature papers proposing state-of-the-art solutions in the field of digital pathology using advanced image analysis and artificial intelligence.

Topics of interest include, but are not limited to:

  • 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

This submission system for this special issue is now open!

The maximum length for all the papers is 12 pages, following the instructions for regular papers as described in https://jbhi.embs.org/for-authors/prepare-and-submit-your-manuscript/
When submitting your paper, select the option “Special Issue on Computational Pathology“.

This special session will be ongoing until October 31, 2019. Ongoing special session means that you could send your manuscript earlier or up until the deadline. Papers will be reviewed upon receipt and published on an ongoing basis. Accepted papers will be included in this special issue, which will be published in 2020. However, accepted papers will appear online at IEEE Xplore earlier, according to their acceptance date.

Guest Editors

Dr. Francesco Ciompi
(francesco.ciompi@radboudumc.nl)
Diagnostic Image Analysis Group, Dept. of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands

Dr. Mitko Veta
(m.veta@tue.nl)
Eindhoven University of Technology, Eindhoven, The Netherlands

Prof. Jeroen van der Laak
(jeroen.vanderlaak@radboudumc.nl)
Diagnostic Image Analysis Group, Dept. of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands

Prof. Nasir Rajpoot
(n.m.rajpoot@warwick.ac.uk)
University of Warwick, Coventry, UK

Key Dates

  • Deadline for submission EXTENDED: October 31, 2019
  • First reviews: December 15, 2019
  • Revised Manuscript due: March 15, 2020
  • Final decision: May, 2020

Download Call for Papers (PDF)

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