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Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.
Betz-Stablein, Brigid; D'Alessandro, Brian; Koh, Uyen; Plasmeijer, Elsemieke; Janda, Monika; Menzies, Scott W; Hofmann-Wellenhof, Rainer; Green, Adele C; Soyer, H Peter.
Affiliation
  • Betz-Stablein B; QIMR Berghofer Medical Research Institute, Cancer and Population Studies, Brisbane, Queensland, Australia.
  • D'Alessandro B; The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia.
  • Koh U; Canfield Scientific Inc., Fairfield, New Jersey, USA.
  • Plasmeijer E; The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia.
  • Janda M; QIMR Berghofer Medical Research Institute, Cancer and Population Studies, Brisbane, Queensland, Australia.
  • Menzies SW; Netherlands Cancer Institute, Dermatology Department, Amsterdam, The Netherlands.
  • Hofmann-Wellenhof R; Centre of Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
  • Green AC; Sydney Medical School, The University of Sydney, Camperdown, New South Wales, Australia.
  • Soyer HP; Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
Dermatology ; 238(1): 4-11, 2022.
Article in En | MEDLINE | ID: mdl-34237739
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Photography / Neural Networks, Computer / Whole Body Imaging / Nevus Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Dermatology Journal subject: DERMATOLOGIA Year: 2022 Type: Article Affiliation country: Australia
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Photography / Neural Networks, Computer / Whole Body Imaging / Nevus Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Dermatology Journal subject: DERMATOLOGIA Year: 2022 Type: Article Affiliation country: Australia