A patient‐oriented, general‐practitioner‐level, deep‐learning‐based cutaneous pigmented lesion risk classifier on a smartphone
- 6 January 2020
- journal article
- letter
- Published by Oxford University Press (OUP) in British Journal of Dermatology
- Vol. 182 (6), 1498-1500
- https://doi.org/10.1111/bjd.18859
Abstract
No abstract availableFunding Information
- Ministry of Science and Technology, Taiwan
This publication has 8 references indexed in Scilit:
- Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithmsJournal of the European Academy of Dermatology and Venereology, 2020
- Multimodal skin lesion classification using deep learningExperimental Dermatology, 2018
- Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosisBritish Journal of Dermatology, 2018
- Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning AlgorithmJournal of Investigative Dermatology, 2018
- Dermatologist-level classification of skin cancer with deep neural networksNature, 2017
- Emerging trends in the epidemiology of melanomaBritish Journal of Dermatology, 2014
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric ApproachBiometrics, 1988