Data for the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics
收藏DataCite Commons2024-05-14 更新2024-07-13 收录
下载链接：
https://databank.illinois.edu/datasets/IDB-3194922
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资源简介：
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).
提供机构：
University of Illinois at Urbana-Champaign
创建时间：
2023-11-14
