Published on in Vol 24, No 1 (2022): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/34415, first published
.
![A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation](https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 480w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 960w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 1920w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 2500w)
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