Deep learning for digital pathology image analysis (lectures only)

Date 14 March 2019
Speaker(s) Andrew Janowczyk (SIB), Raúl Catena (IBM), Tobias Sing (Novartis), Pierre Moulin (Novartis)
Fees *academic: 0 CHF   -   for-profit: 0 CHF
Cancellation deadline 8 Mar 2019
City Basel
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.

This course is now over-subscribed with a waiting list.

Overview

There is a confluence of ongoing revolutions in biomedical image acquisition, computational methods, and technologies for extracting and integrating relevant data in the construction of diagnostic and prognostic models of disease. In particular, deep learning methods are rapidly expanding the range and accuracy of tools for pathologists and researchers.

The aim of this course is two-fold: discuss applications of state-of-the art deep learning methods in digital pathology, and provide practical training in these methods. The course will consist of a half-day of lectures followed by an optional half-day of practicals.

At the bottom of this page there is a link to proceed with registration for the morning lectures only.

To register for the practicals, please follow this link.

This event is co-hosted with the Swiss Digital Pathology Consortium (SDiPath).

Audience

This course is targeted to clinicians and researchers who are interested in discovering deep learning methods for the analysis of histopathological image data.

Learning objectives

The lectures will introduce participants to the relevant topics and state-of-the-art methods for deep learning in digital pathology image analysis.

Application

Attendance to the lectures are free-of-charge, however registration is mandatory.

Venue and Time

University of Basel, Biozentrum, Klingelbergstrasse 70, Hörsaal 103.

  • 9-9h10 - Welcome and introductions
  • 9h10-10h10 - Raúl Catena, multi-layer tissue analysis
  • 10h10-10h30 - Catered coffee break
  • 10h30-11h15 - Tobias Sing and Pierre Moulin, "Pathology 2.0" and decision support in the clinic
  • 11h15-12h00 - Andrew Janowcyzk, overview of deep learning and applications in research

Precise information will be provided to the participants in due time.

Additional information

Coordination: Geoffrey Fucile

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact training@sib.swiss.

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