Cargando…
Ultrasound image intelligent diagnosis in community-acquired pneumonia of children using convolutional neural network-based transfer learning
BACKGROUND: Studies show that lung ultrasound (LUS) can accurately diagnose community-acquired pneumonia (CAP) and keep children away from radiation, however, it takes a long time and requires experienced doctors. Therefore, a robust, automatic and computer-based diagnosis of LUS is essential. OBJEC...
Autores principales: | Fang, Xiaohui, Li, Wen, Huang, Junjie, Li, Weimei, Feng, Qingzhong, Han, Yanlin, Ding, Xiaowei, Zhang, Jinping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729936/ https://www.ncbi.nlm.nih.gov/pubmed/36507139 http://dx.doi.org/10.3389/fped.2022.1063587 |
Ejemplares similares
-
ECHOPAEDIA: Echography in Paediatric Patients in the Age of Coronavirus Disease 2019: Utility of Lung Ultrasound and Chest X-Ray in Diagnosis of Community-Acquired Pneumonia and Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia
por: Fiorito, Ivan, et al.
Publicado: (2022) -
Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
por: Fotiadou, Eleni, et al.
Publicado: (2020) -
Management of Community-Acquired Pneumonia in Pediatrics: Adherence to Clinical Guidelines
por: Tannous, Rim, et al.
Publicado: (2020) -
Automated identification of innocent Still's murmur using a convolutional neural network
por: Shekhar, Raj, et al.
Publicado: (2022) -
Interleukin-6 in blood and bronchoalveolar lavage fluid of hospitalized children with community-acquired pneumonia
por: Zhang, Yun, et al.
Publicado: (2022)