Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization

Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network applied to the task of tuberculosis diagnosis...

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Detalles Bibliográficos
Autores principales: Pasa, F., Golkov, V., Pfeiffer, F., Cremers, D., Pfeiffer, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472370/
https://www.ncbi.nlm.nih.gov/pubmed/31000728
http://dx.doi.org/10.1038/s41598-019-42557-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472370/
https://www.ncbi.nlm.nih.gov/pubmed/31000728
http://dx.doi.org/10.1038/s41598-019-42557-4

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