Distribution of race and Fitzpatrick skin types in data sets for deep learning in dermatology: A systematic review
- 19 October 2021
- journal article
- letter
- Published by Elsevier BV in Journal of the American Academy of Dermatology
- Vol. 87 (2), 460-461
- https://doi.org/10.1016/j.jaad.2021.10.010
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
- Fairness of Classifiers Across Skin Tones in DermatologyPublished by Springer Science and Business Media LLC ,2020
- Machine Learning and Health Care Disparities in DermatologyJAMA Dermatology, 2018
- The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesionsScientific Data, 2018
- Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning AlgorithmJournal of Investigative Dermatology, 2018