Challenge on Ultrasound Beamforming with Deep Learning (CUBDL) Datasets
- Submission Dates:
- 10/14/2019 to 09/08/2021
- Citation Author(s):
- Submitted by:
- Muyinatu Lediju Bell
- Last updated:
- Wed, 11/20/2024 - 06:06
- DOI:
- 10.21227/f0hn-8f92
- Links:
- License:
- Creative Commons Attribution
- Categories:
Abstract
The purpose of this challenge is to provide standardization of methods for assessing and benchmarking deep learning approaches to ultrasound image formation from ultrasound channel data that will live beyond the challenge.
- Participants had the freedom to create their own training data to build networks that accomplish specified tasks; this option is still available now that the challenge is closed.
- Specified tasks and evaluation methods are described on the challenge website: https://cubdl.jhu.edu/
- Participant submissions were facilitated by IEEE DataPort while the challenge was open
- Data sharing is facilitated by IEEE DataPort
Although the challenge is now closed, evaluation code remains available (more details on the challenge website https://cubdl.jhu.edu/), and datasets are available for release by submitting a signed user agreement (be sure to include all pages).
Dataset Details:
The following journal paper describes dataset details, top challenge submissions, and the evaluation process implemented by the challenge organizers:
D. Hyun, A. Wiacek, S. Goudarzi, S. Rothlübbers, A. Asif, K. Eickel, Y. C. Eldar, J. Huang, M. Mischi, H. Rivaz, D. Sinden, R.J.G. van Sloun, H. Strohm, M. A. L. Bell, Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework & Open Datasets, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (accepted July 1, 2021) [pdf]
Access Dataset:
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Note: By clicking the above link, you agree to the abide by all terms that are listed in the CUBDL Data Release Agreement.pdf
Dataset Files
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Documentation
Attachment | Size |
---|---|
CUBDL Data Release Agreement.pdf | 985.81 KB |
Comments
I have been working on US
Are there any test datasets available to get started with?
Yes, please sign up to
Yes, please sign up to request access.
I need access
As i don't have signed agreement so what can I do to access the data sets
Thanks for your inquiry. The
Thanks for your inquiry. The agreement is available for you to sign and submit with your access request.
I also need access
Im working on US & Deep Learning
Thanks for your interest.
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Need access
I've submitted the signed agreement. How can I get access ? Thanks.
Your access was already
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Need onedrive?
Do I need to send an e-mail address that's linked to onedrive? I can't find where I can access the dataset on the IEEEDataPort web page.
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Dataset received
thanks
Excellent, you’re welcome!
Excellent, you’re welcome!
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Update on access
I have submitted the form and requested access, but I did not receive any email or information regarding how can I access the data. Any chance you can look into this soon. Thank You
Need access
I`m working on beamforming and I've submitted the signed agreement. Thanks.
Need access
I'm studying on beamforming and I need access
need access
Hello, I sent in my consent. Kindly forward the access email to me.
Warm regards,