Skin tear classification using machine learning from digital RGB image
Author:
Funder
University of Tokyo
Japan Society for the Promotion of Science
Publisher
Elsevier BV
Subject
Dermatology,Pathology and Forensic Medicine
Reference32 articles.
1. Best practice recommendations for the prevention and management of skin tears in aged skin;LeBlanc;Wounds Int,2018
2. Exploring the prevalence of skin tears and skin properties related to skin tears in elderly patients at a long-term medical facility in Japan;Koyano;Int Wound J,2016
3. The prevalence of skin tears in the acute care setting in Singapore;Chang;Int Wound J,2016
4. Prevalence of skin tears in the extremities in inpatients at a hospital in Denmark;Bermark;Int Wound J,2018
5. Prevalence of skin tears in a long-term care facility;LeBlanc;J Wound, Ostomy Cont Nurs,2013
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