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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.

Hoon KoJimi HuhKyoung Won KimHeewon ChungYousun KoJai Keun KimJei Hee LeeJin Seok Lee
Published in: Journal of medical Internet research (2022)
We propose a deep residual U-Net-based AI algorithm for automatic detection and quantification of ascites on abdominopelvic CT scans, which provides excellent performance.
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