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

Journals

  1. Eapen B, Kaliyadan F, Ashique K. DICODerma: A Practical Approach for Metadata Management of Images in Dermatology. Journal of Digital Imaging 2022;35(5):1231 View
  2. Eapen B. Artificial intelligence in dermatology: A practical introduction to a paradigm shift. Indian Dermatology Online Journal 2020;11(6):881 View

Books/Policy Documents

  1. Mannai Z, Kalboussi A, Kacem A. Participative Urban Health and Healthy Aging in the Age of AI. View