1992. Automated Classification of Pulmonary Tuberculosis-Associated Radiograph in the US Hospital-Scale Chest X-ray Database by Using Deep Convolutional Neural Network

BACKGROUND: Automated classification of chest radiograph (CXR) using deep convolutional neural network (DCCN) has emerged as an attractive option for tuberculosis surveillance and detection. The National Institute of Health (NIH) ChestX-ray8 database comprises 32,717 patients with X-ray images that...

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Detalles Bibliográficos
Autores principales: Pongpirul, Krit, Sathitratanacheewin, Seelwan, Sunanta, Panasun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254316/
http://dx.doi.org/10.1093/ofid/ofy210.1648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254316/
http://dx.doi.org/10.1093/ofid/ofy210.1648

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