Automated Detection of Pigmented Iris Freckles Using a Deep Neural Network for Cutaneous Melanoma Risk-Reference-Cited by-同舟云学术

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Automated Detection of Pigmented Iris Freckles Using a Deep Neural Network for Cutaneous Melanoma Risk

Published:2024-05 Issue: Volume: Page:
ISSN:0022-202X
Container-title:Journal of Investigative Dermatology
language:en
Short-container-title:Journal of Investigative Dermatology

Author:

Naranpanawa Nathasha^ORCID,Jayasinghe Dilki^ORCID,Sturm Richard A.^ORCID,Betz-Stablein Brigid^ORCID,Janda Monika^ORCID,Eriksson Anders^ORCID,Soyer H. Peter^ORCID,Chandra Shekhar S.^ORCID

Publisher

Elsevier BV

Reference5 articles.

1. Topography and clinical features of iris melanoma;Krohn;BMC Ophthalmol,2022

2. Iris pigmented lesions as a marker of cutaneous melanoma risk: an Australian case-control study;Laino;Br J Dermatol,2018

3. Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma. Proceedings of the digital image computing: technqiues and applications (DICTA);Naranpanawa,2021

4. Iris freckles a potential biomarker for chronic sun damage;Schwab;Invest Ophthalmol Vis Sci,2017

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