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. Also included are the labels indicating the breast type. The challenge has now concluded. More information about the challenge can be found here: https://www.aapm.org/GrandChallenge/DGM-Image/. * New in V3: we added a CSV file containing the image breast type labels and example images (PNG). |
Subject |
Technology and Engineering |
Keywords |
Deep generative models; breast computed tomography |
License |
CC BY |
Corresponding Creator |
Mark Anastasio |
Downloaded |
624 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.
| RelatedMaterial | create: {"material_type"=>"Preprint", "availability"=>nil, "link"=>" https://doi.org/10.48550/arXiv.2405.01822", "uri"=>"10.48550/arXiv.2405.01822", "uri_type"=>"DOI", "citation"=>"Deshpande, R., Kelkar, V.A., Gotsis, D.S., Kc, P., Zeng, R., Myers, K.J., Brooks, F.J., & Anastasio, M.A. (2024). Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. doi: https://doi.org/10.48550/arXiv.2405.01822\r\n", "dataset_id"=>2595, "selected_type"=>"Other", "datacite_list"=>"IsSupplementTo", "note"=>nil, "feature"=>nil} | 2024-05-10T15:18:43Z |
| RelatedMaterial | update: {"datacite_list"=>["IsSupplementedBy ", "IsSupplementedBy"]} | 2024-04-18T18:23:34Z |
| RelatedMaterial | update: {"datacite_list"=>["IsSupplementedBy ", "IsSupplementedBy"]} | 2024-04-18T18:23:34Z |