Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review-Reference-Cited by-同舟云学术

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Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review

Published:2021-12-20 Issue: Volume: Page:
ISSN:2162-1918
Container-title:Advances in Wound Care
language:en
Short-container-title:Advances in Wound Care

Author:

Anisuzzaman D.M.¹^ORCID,Wang Chuanbo¹,Rostami Behrouz²,Gopalakrishnan Sandeep³,Niezgoda Jeffrey⁴,Yu Zeyun¹^ORCID

Affiliation:

1. Department of Computer Science and University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

2. Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

3. College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

4. AZH Wound Center, Milwaukee, Wisconsin, USA.

Publisher

Mary Ann Liebert Inc

Subject

Critical Care and Intensive Care Medicine,Emergency Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/wound.2021.0091

Reference123 articles.

1. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

2. The Epidemiology of Diabetic Foot Problems

3. Chronic leg ulcers: The impact of venous disease

4. Socioeconomic Impact of Chronic Venous Insufficiency and Leg Ulcers

5. Pressure ulcer and mortality in frail elderly people living in community

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