Cargando…
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”
Coronavirus disease 2019 (COVID-19) is a novel harmful respiratory disease that has rapidly spread worldwide. At the end of 2019, COVID-19 emerged as a previously unknown respiratory disease in Wuhan, Hubei Province, China. The world health organization (WHO) declared the coronavirus outbreak a pand...
Autores principales: | Al-antari, Mugahed A., Hua, Cam-Hao, Bang, Jaehun, Lee, Sungyoung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695589/ https://www.ncbi.nlm.nih.gov/pubmed/34764573 http://dx.doi.org/10.1007/s10489-020-02076-6 |
Ejemplares similares
-
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
por: Ukwuoma, Chiagoziem C., et al.
Publicado: (2023) -
ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images
por: Al-Hejri, Aymen M., et al.
Publicado: (2022) -
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
por: Ukwuoma, Chiagoziem C., et al.
Publicado: (2022) -
Leveraging Deep Learning Decision-Support System in Specialized Oncology Center: A Multi-Reader Retrospective Study on Detection of Pulmonary Lesions in Chest X-ray Images
por: Kvak, Daniel, et al.
Publicado: (2023) -
Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images
por: Malhotra, Priyanka, et al.
Publicado: (2022)