Automated interpretation and analysis of bronchoalveolar lavage fluid-Reference-Cited by-同舟云学术

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Automated interpretation and analysis of bronchoalveolar lavage fluid

Published:2022-01 Issue: Volume:157 Page:104638
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Tao Yi,Cai Yu^ORCID,Fu Han,Song Licheng,Xie Lixin,Wang Kaifei

Publisher

Elsevier BV

Subject

Health Informatics

Reference31 articles.

1. International study of the prevalence and outcomes of infection in intensive care units;Vincent;JAMA,2009

2. The impact of hospital and ICU organizational factors on outcome in critically ill patients: results from the Extended Prevalence of Infection in Intensive Care study;Sakr;Crit. Care Med.,2015

3. Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit;Vincent;Lancet Respir. Med.,2014

4. High levels of inherent variability in microbiological assessment of bronchoalveolar lavage samples from children with persistent bacterial bronchitis and healthy controls;Craven;Pediatr. Pulmonol.,2020

5. An official American Thoracic Society clinical practice guideline: the clinical utility of bronchoalveolar lavage cellular analysis in interstitial lung disease;Meyer;Am. J. Respir. Crit. Care Med.,2012

Cited by 6 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. Is the use of Adam optimiser and label smoothing adequate for optimizing YOLOv7 and YOLOv7-E6E to attain a high-quality automated analysis and differential diagnostic evaluation of bronchoalveolar lavage fluid?;2024-07-04

2. Comparison of Sysmex XN-V body fluid mode and deep-learning-based quantification with manual techniques for total nucleated cell count and differential count for equine bronchoalveolar lavage samples;BMC Veterinary Research;2024-02-05

3. Unveiling the Diagnostic Potential: A Comprehensive Review of Bronchoalveolar Lavage in Interstitial Lung Disease;Cureus;2024-01-23

4. A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation;International Journal of Medical Informatics;2023-03

5. An improved Yolov5s based on transformer backbone network for detection and classification of bronchoalveolar lavage cells;Computational and Structural Biotechnology Journal;2023

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