Abstract
Mammography, Screening, Convolutional Neural Network (CNN) Published under a CC BY 4.0 license. See also the commentary by Cadrin-Chênevert in this issue.
- Title
- ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets
- Creators
- Michael S ElliottKatrina M KunickiBrendan HillRavishankar KarthikChun Fung KwokCarlos A Peña-SolorzanoYuanhong ChenChong WangOsamah Al-QershiSamantha K FoxShuai LiEnes MakalicTuong L NguyenDaniel F SchmidtPrabhathi Basnayake RalalageJocelyn F LippeyPeter BrotchieJohn L HopperHelen M L FrazerGustavo CarneiroJennifer S N TangDavis J McCarthy
- Publication Details
- Radiology. Artificial intelligence, Vol.5(2), pp.e220072-e220072
- Date published
- 01/03/2023
- Grant note
- Supported in part by an Australian government grant (no. MRFAI000090), as part of the 2019 Medical Research Future Fund (MRFF) Applied Artificial Intelligence Research in Health grant opportunity, which funded the Transforming Breast Cancer Screening with AI (BRAIx) program that produced this study. The BRAIx program also includes significant in-kind contributions from its grant partners: St Vincent’s Institute of Medical Research, St Vincent’s Hospital Melbourne, BreastScreen Victoria, University of Melbourne, and University of Adelaide. This work was also supported by a Ramaciotti Health Investment Grant from the Ramaciotti Foundation in Australia
- Identifiers
- 99783729402346
- Copyright
- Published under a CC BY 4.0 license.
- Academic Unit
- School of Computer Science and Electronic Engineering
- Language
- English
- Resource Type
- Journal article