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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...
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| 出版年: | NPJ Digit Med |
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| 主要な著者: | , , , , , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 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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