טוען...
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks
PURPOSE: To develop an automated measure of COVID-19 pulmonary disease severity on chest radiographs (CXRs), for longitudinal disease tracking and outcome prediction. MATERIALS AND METHODS: A convolutional Siamese neural network-based algorithm was trained to output a measure of pulmonary disease se...
שמור ב:
| הוצא לאור ב: | Radiol Artif Intell |
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| Main Authors: | , , , , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Radiological Society of North America
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7392327/ https://ncbi.nlm.nih.gov/pubmed/33928256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200079 |
| תגים: |
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