Open AccessAssessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study
Author(s) -
Ibukun Oloruntoba,
Tine Vestergaard,
Toàn Nguyên,
Yu Zhang,
Maithili Sashindranath,
Brigid BetzStablein,
H. Peter Soyer,
Zongyuan Ge,
Victoria Mar
Publication year - 2022
Publication title -
jmir dermatology
Language(s) - English
Resource type - Journals
ISSN - 2562-0959
DOI - 10.2196/35150
Subject(s) - convolutional neural network , artificial intelligence , computer science , generalizability theory , standardization , deep learning , data set , pattern recognition (psychology) , contextual image classification , test set , receiver operating characteristic , machine learning , set (abstract data type) , image (mathematics) , statistics , mathematics , programming language , operating system