[Corpora-List] CFP: VQA-Med 2020 | Visual Question Answering in the Medical Domain

Asma Ben Abacha asma.benabacha at gmail.com
Sat Feb 1 02:54:51 CET 2020


*----- Call For Participation ----- *

VQA-Med 2020 is a challenge on visual question answering and generation in the medical domain, organized in the scope of the ImageCLEF <https://www.imageclef.org/2020> evaluation campaign, CLEF 2020 <https://clef2020.clef-initiative.eu/>.

*Tasks: *

Participants will be tasked with answering medical questions based on the visual content of radiology images (*VQA*). This third edition of VQA-Med will include a new task on visual question generation (*VQG*).

In VQA-Med 2019, participating systems performed well in answering modality questions, followed by plane and organ questions. In VQA-Med 2020, we will focus on the more challenging questions about abnormality*. *

*Datasets:*

New training, validation, and test sets will be provided for the *VQA <https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqa>* and *VQG <https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqg> *tasks.

Also, the following medical VQA datasets could be used as additional data: VQA-RAD <https://www.nature.com/articles/sdata2018251>, VQA-Med 2018 <https://www.imageclef.org/2018/VQA-Med>, and VQA-Med 2019 <https://github.com/abachaa/VQA-Med-2019>.

*Participant Registration: *

Please refer to the general ImageCLEF 2020 registration instructions: https://www.imageclef.org/2020

*Schedule: *

- 25/02/2020: Release of the training and validation datasets

- 10/04/2020: Release of the test sets

- 10/05/2020: Run submission deadline

- 17/05/2020: Release of the processed results by the task organizers

- 24/05/2020: Deadline for submitting the working notes papers by the

participants

- 14/06/2020: Notification of acceptance of the working notes papers

- 28/06/2020: Camera-ready copy of the working notes

- 22-25/09/2020: CLEF 2020 <https://clef2020.clef-initiative.eu/>,

Thessaloniki, Greece

*Organizers: *

- Asma Ben Abacha <https://sites.google.com/site/asmabenabacha/>

<asma.benabacha(at)nih.gov>, National Library of Medicine, USA

- Vivek Datla

<https://scholar.google.com/citations?user=Y-BH9OEAAAAJ&hl=en>

<vivek.datla(at)philips.com>, Philips Research Cambridge, USA

- Sadid A. Hasan <http://sadidhasan.com/> <sadidhasan(at)gmail.com>, CVS

Health, USA

- Joey Liu <https://scholar.google.com/citations?user=Gd-9UXEAAAAJ&hl=en>

<joey.liu(at)philips.com>, Philips Research Cambridge, USA

- Dina Demner-Fushman

<https://lhncbc.nlm.nih.gov/personnel/dina-demner-fushman> <ddemner(at)

mail.nih.gov>, National Library of Medicine, USA

- Henning Müller

<http://medgift.hevs.ch/silverstripe/index.php/team/henning-mueller/>

<henning.mueller(at)hevs.ch>, University of Applied Sciences Western

Switzerland, Sierre, Switzerland

*For more information and updates: *

- *AICrowd projects: *VQA

<https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqa> & VQG

<https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqg>

- *Website: *https://www.imageclef.org/2020/medical/vqa

- Mailing list: https://groups.google.com/d/forum/imageclef-vqa-med

Best regards,

Asma

*============================ *

*Dr. Asma Ben Abacha*

*Staff Scientist, **National Institutes of Health (NIH)*

*U.S. National Library of Medicine (NLM)*

*Website <https://sites.google.com/site/asmabenabacha/> I LinkedIn <https://www.linkedin.com/in/asmabenabacha/> I Twitter <https://twitter.com/asmabenabacha>*

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