Corrigendum to "diversity, inclusivity and traceability of mammography datasets used in development of artificial intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].
Laws, Elinor Palmer, Joanne Alderman, Joseph Sharma, Ojasvi Ngai, Victoria Salisbury, Thomas Hussain, Gulmeena Ahmed, Sumiya Sachdeva, Gagandeep Vadera, Sonam
Laws, Elinor
Palmer, Joanne
Alderman, Joseph
Sharma, Ojasvi
Ngai, Victoria
Salisbury, Thomas
Hussain, Gulmeena
Ahmed, Sumiya
Sachdeva, Gagandeep
Vadera, Sonam
Abstract
No absract available.
MIDER Authors
Date
2025-07-08
Type
Article
Subject
Practice of medicine
Collections
Citation
Laws E, Palmer J, Alderman J, Sharma O, Ngai V, Salisbury T, Hussain G, Ahmed S, Sachdeva G, Vadera S, Mateen B, Matin R, Kuku S, Calvert M, Gath J, Treanor D, McCradden M, Mackintosh M, Gichoya J, Trivedi H, Denniston AK, Liu X. Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369]. Clin Imaging. 2025 Sep;125:110541. doi: 10.1016/j.clinimag.2025.110541.
Journal / Source Title
Clinical imaging
DOI
10.1016/j.clinimag.2025.110541
PMID
40633491
Publisher
Elsevier
Publisher’s URL
https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S089970712500141X?returnurl=https:%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS089970712500141X%3Fshowall%3Dtrue&referrer=https:%2F%2Fpubmed.ncbi.nlm.nih.gov%2F