[visionlist] Computational Pathology with Frontiers in Medicine.

[Bozorgtabar Behzad]

CALL FOR PAPERS

Computational Pathology with Frontiers in Medicine,

Website: https://www.frontiersin.org/research-topics/9244/computational-pathology

Instructions for authors on manuscript format and style can be found here<https://www.frontiersin.org/journals/medicine/sections/pathology#>.
<http://fa4adas.epfl.ch/><https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue2018.html>

 I. About this Research Topic

The huge amount of information and data available in histopathology images, and the ease of their digitization has rapidly advanced the field of computational pathology. The effectiveness of computational  pathology, coupled with the impressive advances that the fields of deep learning and computer vision have made in recent years, make for the perfect combination to revolutionize established workflows in research and clinic.

II. Potential Topics


The goal of this Research Topic is to publish the latest research advances and bring together scientific researchers, medical experts and industry partners working in the field of computational pathology for clinical outcome analysis. We welcome papers that cover a wide spectrum of image analysis techniques for semi-or fully automated analysis of computational histopathology images. Topics  will include (but are not limited to) machine learning methods and deep learning with their applications to:


  *   Image analysis of anatomical structures/functions and lesions

  *   Deep Learning for Computational Pathology

  *   Domain adaptation and transfer learning

  *   Computer-aided detection/diagnosis

  *   Image segmentation

  *   Stain normalization/standardization

  *   Multi-modality fusion for analysis, diagnosis, and intervention;

  *   Medical image reconstruction;

  *   Medical image retrieval;

  *   Molecular/pathologic/cellular image analysis;

  *   Dynamic, functional, and physiologic imaging.

  *   Detection of predictive and prognostic tissue biomarkers

  *   Whole-slide image analysis

  *   Registration of whole-slide images

  *   Immunohistochemistry scoring

  *   Multiplexed staining

  *   Unlabeled multiplexing

  *   Crowdsourcing for machine learning applications

  *   Applications of computational pathology in the clinic


III. Submission


Submission website: https://www.frontiersin.org/research-topics/9244/computational-pathology<https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FFA4ADAS2019>


IV. Important Dates

Abstract Submission Deadline: 5th of March 2019
Manuscript Submission Deadline for reviews and response to authors: 5th of May 2019


V. Topic Editors

  *   Professor Jean-Philippe Thiran ( EPFL, Switzerland)
  *   Dr. Behzad Bozorgtabar ( EPFL, Switzerland)
  *   Professor Inti Zelobec ( University of Bern, Switzerland)
  *   Dr. Dwarikanath Mahapatra ( IBM Research, Australia)
  *   Dr. Tilman T. Rau ( University of Bern, Switzerland)




Best Regards
Dr. Behzad Bozorgtabar
Swiss Federal Institute of Technology Lausanne(EPFL)
Signal Processing Laboratory (LTS5)
Postal address:
EPFL-STI-IEL-LTS5
Station 11
1015 Lausanne
Switzerland


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