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](https://asset.jmir.pub/assets/4ab1315fad5ff78fd6985ccc93210ba3.png 480w,https://asset.jmir.pub/assets/4ab1315fad5ff78fd6985ccc93210ba3.png 960w,https://asset.jmir.pub/assets/4ab1315fad5ff78fd6985ccc93210ba3.png 1920w,https://asset.jmir.pub/assets/4ab1315fad5ff78fd6985ccc93210ba3.png 2500w)
Journals
- 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
- 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
- Mannai Z, Kalboussi A, Kacem A. Participative Urban Health and Healthy Aging in the Age of AI. View