Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
PURPOSE: To develop a machine learning model to classify the severity grades of pulmonary edema on chest radiographs. MATERIALS AND METHODS: In this retrospective study, 369 071 chest radiographs and associated radiology reports from 64 581 patients (mean age, 51.71 years; 54.51% women) from the MIM...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Radiological Society of North America (RSNA),
2022-06-28T17:52:19Z.
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| Subjects: | |
| Online Access: | Get fulltext |