The Experience of 3D Total-Body Photography to Monitor Nevi: Results from an Australian General Population-Based Cohort Study
Article
Article Title | The Experience of 3D Total-Body Photography to Monitor Nevi: Results from an Australian General Population-Based Cohort Study |
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Article Category | Article |
Authors | Horsham, Caitlin, O'Hara, Montana, Sanjida, Saira, Ma, Samantha, Jayasinghe, Dilki, Green, Adele C Green, Schaider, Helmut, Aitken, Joanne F, Sturm, Richard A, Prow, Tarl, Soyer, H Peter and Janda, Monika |
Journal Title | JMIR Dermatology |
Journal Citation | 5 (2) |
Article Number | e37034 |
Number of Pages | 12 |
Year | 2022 |
Publisher | JMIR Publications Inc. |
Place of Publication | Canada |
ISSN | 2562-0959 |
Digital Object Identifier (DOI) | https://doi.org/10.2196/37034 |
Web Address (URL) | https://derma.jmir.org/2022/2/e37034 |
Abstract | Background: Objective: Methods: Results: Conclusions: |
Keywords | skin surface; melanocytic nevi; cohort study; artificial intelligence; 3D total-body photography; skin cancer; early detection; moles; melanoma |
Byline Affiliations | University of Queensland |
QIMR Berghofer Medical Research Institute, Australia | |
University of Manchester, United Kingdom | |
Australian Skin and Skin Cancer Research Centre, Australia | |
Cancer Council Queensland, Australia | |
Institute for Resilient Regions | |
University of South Australia | |
Hull York Medical School, United Kingdom |
https://research.usq.edu.au/item/z020z/the-experience-of-3d-total-body-photography-to-monitor-nevi-results-from-an-australian-general-population-based-cohort-study
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