Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study
Deep learning methods can automatically estimate PA from facial images with enough accuracy to replicate known links between human-estimated perceived age and several age-related morbidities. Furthermore, DL predicted perceived age associated with MC1R gene variants in a validation cohort. Hence, such DL PA techniques may be used instead of human estimations in perceived age studies thereby reducing time and costs.
Authors
- Tamar E. C. Nijsten (ORCID: https://orcid.org/0000-0001-9940-2875)
- Guy Brusselle (ORCID: https://orcid.org/0000-0001-7021-8505)
- Luba M. Pardo (ORCID: https://orcid.org/0000-0003-0684-3175)
- Jaume Bacardit (ORCID: https://orcid.org/0000-0002-2692-7205)
- Fernando Rivadeneira (ORCID: https://orcid.org/0000-0001-9435-9441)
- Pauline H. Croll (ORCID: https://orcid.org/0000-0002-4243-0100)
- Caroline C. W. Klaver (ORCID: https://orcid.org/0000-0002-2355-5258)
- M. Arfan Ikram (ORCID: https://orcid.org/0000-0003-0372-8585)
- Selma Mekić (ORCID: https://orcid.org/0000-0003-3305-6636)
- Manfred Kayser (ORCID: https://orcid.org/0000-0002-4958-847X)
- David A. Gunn (ORCID: https://orcid.org/0000-0001-9866-3221)
- André Goedegebure (ORCID: https://orcid.org/0000-0003-1376-749X)
- Katerina Trajanoska (ORCID: https://orcid.org/0000-0002-3792-4296)
- Maryam Kavousi (ORCID: https://orcid.org/0000-0001-5976-6519)
- Ruediger Zillmer
- Fan Liu (ORCID: https://orcid.org/0000-0001-9241-8161)
- Conor Turner
Institutions
- Unilever (United Kingdom) (GB)
- King's College London (GB)
- Ghent University Hospital (BE)
- Erasmus MC (NL)
- University Medical Center Utrecht (NL)
- Newcastle University (GB)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Journal of the European Academy of Dermatology and Venereology
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1111/jdv.20365
- Citations
- 3
- Primary Topic
- Aging and Gerontology Research
- Type
- article
- Field-Weighted Citation Impact
- 3.08