Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study

BACKGROUND: Convolutional neural networks (CNNs) are a type of artificial intelligence that shows promise as a diagnostic aid for skin cancer. However, the majority are trained using retrospective image data sets with varying image capture standardization. OBJECTIVE: The aim of our study was to use...

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Detalles Bibliográficos
Autores principales: Oloruntoba, Ayooluwatomiwa I, Vestergaard, Tine, Nguyen, Toan D, Yu, Zhen, Sashindranath, Maithili, Betz-Stablein, Brigid, Soyer, H Peter, Ge, Zongyuan, Mar, Victoria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334907/
http://dx.doi.org/10.2196/35150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334907/
http://dx.doi.org/10.2196/35150

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