This paper is in the following e-collection/theme issue:

Innovations in Dermatological Electronic Health Records and Documentation (3) Imaging Informatics (182) Machine Learning (1373) Digital Photography and Imaging in Dermatology (31) Machine Learning from Digital Images in Dermatology (8)

Published on in Vol 3, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18149, first published .
LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning

LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning

LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning

Authors of this article:

Bell Raj Eapen1 Author Orcid Image ;   Norm Archer1 Author Orcid Image ;   Kamran Sartipi2 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Bell Raj Eapen   1 , MD, MSc ;   Norm Archer   1 , PhD ;   Kamran Sartipi   2 , PhD

1 Information Systems, McMaster University, Hamilton, ON, Canada

2 Department of Computer Science, East Carolina University, Greenville, NC, United States

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