Automated abnormality classification of chest radiographs using deep convolutional neural networks

As one of the most ubiquitous diagnostic imaging tests in medical practice, chest radiography requires timely reporting of potential findings and diagnosis of diseases in the images. Automated, fast, and reliable detection of diseases based on chest radiography is a critical step in radiology workfl...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Yu-Xing, Tang, You-Bao, Peng, Yifan, Yan, Ke, Bagheri, Mohammadhadi, Redd, Bernadette A., Brandon, Catherine J., Lu, Zhiyong, Han, Mei, Xiao, Jing, Summers, Ronald M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224391/
https://www.ncbi.nlm.nih.gov/pubmed/32435698
http://dx.doi.org/10.1038/s41746-020-0273-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224391/
https://www.ncbi.nlm.nih.gov/pubmed/32435698
http://dx.doi.org/10.1038/s41746-020-0273-z

Ejemplares similares