Data for the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics
Dataset Description |
This repository contains the training dataset associated with the 2023 Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics (DGM-Image Challenge), hosted by the American Association of Physicists in Medicine. This dataset contains more than 100,000 8-bit images of size 512x512. These images emulate coronal slices from anthropomorphic breast phantoms adapted from the VICTRE toolchain [1], with assigned X-ray attenuation coefficients relevant for breast computed tomography. Please follow the instructions given on the following page in order to register for the challenge: https://www.aapm.org/GrandChallenge/DGM-Image/. [1] Badano, Aldo, et al. "Evaluation of digital breast tomosynthesis as replacement of full-field digital mammography using an in-silico imaging trial." JAMA network open 1.7 (2018): e185474-e185474 |
Subject |
Technology and Engineering |
Keywords |
Deep generative models; breast computed tomography |
License |
CC BY |
Funder |
U.S. National Institutes of Health (NIH)-Grant:R01 EB031585 |
Funder |
American Association of Physicists in Medicine |
Corresponding Creator |
Mark Anastasio |
Downloaded |
206 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 3 | 10.13012/B2IDB-2773204_V3 | Added add a file containing image labels (breast_types.csv), and 4 example images (PNG) from each breast type. | 2023-11-14 |
| 1 | 10.13012/B2IDB-2773204_V1 | 2023-07-17 |
Contact the Research Data Service for help interpreting this log.
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| RelatedMaterial | update: {"link"=>["doi.org/10.1001/jamanetworkopen.2018.5474", "https://www.doi.org/10.1001/jamanetworkopen.2018.5474"]} | 2023-07-21T15:12:13Z |
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| Dataset | update: {"publication_state"=>["file embargo", "released"]} | 2023-07-17T08:00:08Z |
| Dataset | update: {"publication_state"=>["released", "file embargo"]} | 2023-01-23T17:27:40Z |
| Dataset | update: {"publication_state"=>["file embargo", "released"]} | 2023-01-23T17:27:40Z |
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| Dataset | update: {"publication_state"=>["file embargo", "released"]} | 2023-01-17T21:39:11Z |
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