Journal
Frontiers in Radiology
Publication Date
1-1-2023
Volume
3
First Page
1181190
Document Type
Open Access Publication
DOI
10.3389/fradi.2023.1181190
Rights and Permissions
Hwang I, Trivedi H, Brown-Mulry B, Zhang L, Nalla V, Gastounioti A, Gichoya J, Seyyed-Kalantari L, Banerjee I and Woo M (2023) Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography. Front. Radiol. 3:1181190. doi: 10.3389/fradi.2023.1181190 © 2023 Hwang, Trivedi, Brown-Mulry, Zhang, Nalla, Gastounioti, Gichoya, Seyyed-Kalantari, Banerjee and Woo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Recommended Citation
Hwang, InChan; Trivedi, Hari; Brown-Mulry, Beatrice; Zhang, Linglin; Nalla, Vineela; Gastounioti, Aimilia; Gichoya, Judy; Seyyed-Kalantari, Laleh; Banerjee, Imon; and Woo, MinJae, "Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography." Frontiers in Radiology. 3, 1181190 (2023).
https://digitalcommons.wustl.edu/oa_4/5639
Department
ICTS (Institute of Clinical and Translational Sciences)
