Application of multiple deep learning models for automatic burn wound assessment-Reference-Cited by-同舟云学术

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Application of multiple deep learning models for automatic burn wound assessment

Published:2022-07 Issue: Volume: Page:
ISSN:0305-4179
Container-title:Burns
language:en
Short-container-title:Burns

Author:

Chang Che Wei,Ho Chun Yee,Lai Feipei,Christian Mesakh,Huang Shih Chen,Chang Dun Hao,Chen Yo Shen

Funder

Far Eastern Memorial Hospital

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine,Emergency Medicine,General Medicine,Surgery

Reference47 articles.

1. Recent trends in burn epidemiology worldwide: a systematic review;Smolle;Burns,2017

2. Accuracy of burn size estimation in patients transferred to adult Burn Units in Sydney, Australia: an audit of 698 patients;Harish;Burns,2015

3. Accuracy of burn size assessment prior to arrival in Dutch burn centres and its consequences in children: a nationwide evaluation;Baartmans;Injury,2012

4. Does overestimation of burn size in children requiring fluid resuscitation cause any harm?;Sadideen;J Burn Care Res,2017

5. The potential impact of wrong TBSA estimations on fluid resuscitation in patients suffering from burns: things to keep in mind;Parvizi;Burns,2014

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