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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...

詳細記述

保存先:
書誌詳細
出版年:NPJ Digit Med
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
主題:
オンライン・アクセス: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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