id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tocmqzoapbav5jjhdxskhci2h4	Bell Raj Eapen	LesionMap: A method and a tool for the semantic annotation of dermatological lesions for documentation and machine learning (Preprint)	2020.0	7	.pdf	application/pdf	4078	498	51	Dermatological Lesions for Documentation and Machine Learning Documentation of skin lesions in dermatology is We discuss how the type, distribution, and progression of lesions can be represented The tool is an open-source JavaScript package that can be integrated into web-based electronic medical We believe that LesionMapper will facilitate documentation in dermatology that can be used for machine learning in a LesionMap; LesionMapper; digital imaging; machine learning; dermatology to dermatological conditions for machine learning. data to build machine learning models for clinical decision by iconographic images representative of the lesion or feature. The LesionMapper interface: (A,B) icons for descriptive characteristics; (C) large nodule; (D) ulcer on lateral side; (E) multiple discrete LesionMapper Vue component for standardized mapping of lesions in dermatology URL: https:/ Machine Learning and Health Care Disparities in Dermatology. LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning	./cache/work_tocmqzoapbav5jjhdxskhci2h4.pdf	./txt/work_tocmqzoapbav5jjhdxskhci2h4.txt