Wound image evaluation with machine learning

Author:

Veredas Francisco J.,Luque-Baena Rafael M.,Martín-Santos Francisco J.,Morilla-Herrera Juan C.,Morente Laura

Funder

Junta de Andalucía

MICINN-SPAIN

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. European Pressure Ulcer Advisory Panel (EPUAP), Guidelines on treatment of pressure ulcers, EPUAP Rev. 1 (1999) 31–33.

2. Analysis of ischemia-reperfusion injury in a microcirculatory model of pressure ulcers;Tsuji;Wound Repair Regen.,2005

3. The relative contributions of compression and hypoxia to development of muscle tissue damage: an in vitro study;Gawlitta;Ann. Biomed. Eng.,2007

4. Disease-related Malnutrition: An Evidence-based Approach to Treatment;Stratton,2003

5. Pressure ulcer and mortality in frail elderly people living in community;Landi;Arch. Gerontol. Geriatr.,2007

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