PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

Pulmonary embolism (PE) is a life-threatening clinical problem and computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosis. Prompt diagnosis and immediate treatment are critical to avoid high morbidity and mortality rates, yet PE remains among the diagnoses most frequentl...

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Vydáno v:NPJ Digit Med
Hlavní autoři: Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7181770/
https://ncbi.nlm.nih.gov/pubmed/32352039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0266-y
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