MEDICAL IMAGING - AND MORESIMON MERCERDIRECTOR, HEALTH & WELLBEING, MICROSOFT RESEARCH

CODALAB IN CONTEXT

We believe algorithm development is hampered by a lack of access to high-quality data

Our goal: free the data – accelerate the research Data acquisition

Obstacles are predominantly legal and social – address through partnerships

Synthetic data would change the game

Data annotation Build better tools to streamline the process (GeoS)

Data sharing, shared tasks and benchmarks Provide secure, scalable storage, social tools, algorithm execution and workflow – CodaLab

Build an environment for co-development and community adoption – Codalab, Outercurve and Github

Acquisition Annotation Collaboration

DATA ACQUISITION

Working with hospitals to obtain initial datasets

A hospital-by-hospital approach does not scale

Is synthetic data the answer? (INRIA collaboration)

Until them – Creating ground-truth data is a bottleneck

FASTER IMAGE SEGMENTATION: GEOS

GeoS webpages:http://research.microsoft.com/en-us/projects/geos/

GeoS user forum active on TechNet:http://social.technet.microsoft.com/Forums/en-US/home?forum=geos

User requests and bugs recorded and prioritized 15 new feature requests from Medical Imaging

Workshop, Cambridge

Quarterly release schedule to July 2014 ITK integration: support for DICOM

Commercial licensing available

Acquisition Annotation Collaboration

SHARED TASKS/COMPETITIONS: CODALAB

Outercurve –owned open source (Apache 2.0)

Written in Python to encourage collaboration

Github site established

Governance agreed

Deployed at www.codalab.org

Competition support in place

Experimentation support in progress

Acquisition Annotation Collaboration

Organizer starts a competition

Organizer Uploads Truth Reference Data and

Scoring Program

Only organizer has access to this information

Competition Organizer Data Workflow

Participant requests to join a Competition

Participant accepts Organizer͛!s TOU

Organizer approves participant

Participant granted access to Participation

features

Participant provided external link to

download competition participant data

CodaLab authentication

External Account Database,

permissions managed externally

Competition Participant Workflow

Microsoft Azure for Research Accelerate the Speed of Scientific Discovery

Microsoft Azure provides researchers with the power

and scalability of cloud computing for collaboration,

computation, and data-intensive processing. This

open and flexible global cloud platform supports any

language, tool, or framework.   

The Microsoft Azure for Research program:· Free access to Microsoft Azure cloud computing and storage (submit proposals for Microsoft Azure Research Awards)

· Microsoft Azure for Research training classes

· Support and technical resources

Apply the power of cloud computing to your

computational and data challenges. Experiment at

azure4research.com.

For further information:

https://www.codalab.org/

http://research.microsoft.com/medimaging/