Automated measurement of pressure injury through image processing-Reference-Cited by-同舟云学术

Automated measurement of pressure injury through image processing

Published:2017-04-03 Issue:21-22 Volume:26 Page:3564-3575
ISSN:0962-1067
Container-title:Journal of Clinical Nursing
language:en
Short-container-title:J Clin Nurs

Author:

Li Dan¹^ORCID,Mathews Carol²

Affiliation:

1. Department of Health and Community Systems; School of Nursing; University of Pittsburgh; Pittsburgh PA USA

2. Wound, Ostomy, Continence nurse clinician; Shadyside Hospital; University of Pittsburgh Medical Center; Pittsburgh PA USA

Funder

American Nurses Foundation

Publisher

Wiley

Subject

General Medicine,General Nursing

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jocn.13726/fullpdf

Reference44 articles.

1. Segmentation and classification of burn images by color and texture information;Acha;Journal of Biomedical Optics,2005

2. Agency for Healthcare Research & Quality 2008 Health Services/Technology Assessment Treatment of Pressure Ulcers http://www.ncbi.nlm.nih.gov/books/bv.fcgi?rid=hstat2

3. Alves JM Gonzaga A Perez AA 2001 Segmentation and analysis of leg ulcers color images Proceedings International Workshop on Medical Imaging and Augmented Reality 262 266

4. Measuring pressure sores;Anthony;Nursing Times,1985

5. How our ICU decreased the rate of hospital-acquired pressure ulcers;Ballard;Journal of Nursing Care Quality,2008

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of deep learning to pressure injury staging;Journal of Wound Care;2024-05-02

2. Comparison of Wound Surface Area Measurements Obtained Using Clinically Validated Artificial Intelligence-Based Technology Versus Manual Methods and the Effect of Measurement Method on Debridement Code Reimbursement Cost;Wounds: a compendium of clinical research and practice;2023

3. Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review;International Journal of Environmental Research and Public Health;2023-01-01

4. Wound tissue segmentation by computerised image analysis of clinical pressure injury photographs: a pilot study;Journal of Wound Care;2022-08-02

5. Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence;International Journal of Nursing Studies;2022-03