Journal article
LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning
Abstract
Diagnosis and follow-up of patients in dermatology rely on visual cues. Documentation of skin lesions in dermatology is time-consuming and inaccurate. Digital photography is resource-intensive, difficult to standardize, and has privacy concerns. We propose a simple method—LesionMap—and an electronic health software tool—LesionMapper—for semantically annotating dermatological lesions on a body wireframe. We discuss how the type, distribution, …
Authors
Eapen BR; Archer N; Sartipi K
Journal
JMIR Dermatology, Vol. 3, No. 1,
Publisher
JMIR Publications
DOI
10.2196/18149
ISSN
2562-0959