Journal
Cancer Research
Publication Date
7-2-2024
Volume
84
Issue
13
First Page
2060
Last Page
2072
Document Type
Open Access Publication
DOI
10.1158/0008-5472.CAN-23-1349
Rights and Permissions
White BS, Woo XY, Koc S, Sheridan T, Neuhauser SB, Wang S, Evrard YA, Chen L, Foroughi Pour A, Landua JD, Mashl RJ, Davies SR, Fang B, Rosa MG, Evans KW, Bailey MH, Chen Y, Xiao M, Rubinstein JC, Sanderson BJ, Lloyd MW, Domanskyi S, Dobrolecki LE, Fujita M, Fujimoto J, Xiao G, Fields RC, Mudd JL, Xu X, Hollingshead MG, Jiwani S, Acevedo S; PDXNet Consortium; Davis-Dusenbery BN, Robinson PN, Moscow JA, Doroshow JH, Mitsiades N, Kaochar S, Pan CX, Carvajal-Carmona LG, Welm AL, Welm BE, Govindan R, Li S, Davies MA, Roth JA, Meric-Bernstam F, Xie Y, Herlyn M, Ding L, Lewis MT, Bult CJ, Dean DA 2nd, Chuang JH. A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis. Cancer Res. 2024 Jul 2;84(13):2060-2072. doi: 10.1158/0008-5472.CAN-23-1349 This open access article is distributed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. ©2024 The Authors; Published by the American Association for Cancer Research
Recommended Citation
White, Brian S; Mashl, R Jay; Davies, Sherri R; Fields, Ryan C; Mudd, Jacqueline L; Govindan, Ramaswamy; Li, Shunqiang; Ding, Li; and et al., "A pan-cancer patient-derived xenograft histology image repository with genomic and pathologic annotations enables deep learning analysis." Cancer Research. 84, 13. 2060 - 2072. (2024).
https://digitalcommons.wustl.edu/oa_4/3945
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
