Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

Chest X-ray radiography and computed tomography, the two mainstay modalities in thoracic radiology, are under active investigation with deep learning technology, which has shown promising performance in various tasks, including detection, classification, segmentation, and image synthesis, outperform...

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Detalles Bibliográficos
Autores principales: Hwang, Eui Jin, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183830/
https://www.ncbi.nlm.nih.gov/pubmed/32323497
http://dx.doi.org/10.3348/kjr.2019.0821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183830/
https://www.ncbi.nlm.nih.gov/pubmed/32323497
http://dx.doi.org/10.3348/kjr.2019.0821

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