Machine learning for burned wound management.
暂无分享,去创建一个
M. Mobayen | Alireza Feizkhah | Samad Karkhah | Mohammad Javad Ghazanfari | Pooyan Ghorbani Vajargah | Atefeh Falakdami | Amirabbas Mollaei | Poorya Takasi | Parissa Bagheri Toolaroud
[1] A. Emami Zeydi,et al. Effects of COVID-19 pandemic on burns care , 2022, Burns.
[2] M. Mobayen,et al. Machine learning for burns clinical care: Opportunities & challenges. , 2022, Burns : journal of the International Society for Burn Injuries.
[3] M. Ghazanfari,et al. Machine Learning for Geriatric Clinical Care: Opportunities and Challenges , 2021, Annals of geriatric medicine and research.
[4] Hassan Ugail,et al. Assessment of Human Skin Burns: A Deep Transfer Learning Approach , 2020, Journal of Medical and Biological Engineering.
[5] Soman Sen,et al. Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept. , 2019, Burns : journal of the International Society for Burn Injuries.
[6] Anthony J. Durkin,et al. 359 Burn Wound Severity Prediction in a Porcine Model using Spatial Frequency Domain Imaging & Machine Learning , 2019, Journal of Burn Care & Research.