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Simulating federated learning for steatosis detection using ultrasound images

Author(s): Qi Y; Vianna P; Cadrin-Chênevert A; Blanchet K; Montagnon E; Belilovsky E; Wolf G; Mullie LA; Cloutier G; Chassé M; Tang A;

We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting steatosis using B-mode US images. A private dataset (153 patients; 1530 images) and a public datase ...

Article GUID: 38858500


Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis

Author(s): Vianna P; Calce SI; Boustros P; Larocque-Rigney C; Patry-Beaudoin L; Luo YH; Aslan E; Marinos J; Alamri TM; Vu KN; Murphy-Lavallée J; Billiard JS; Montagnon E; Li H; Kadoury S; Nguyen BN; Gauthier S; Therien B; Rish I; Belilovsky E; Wo ...

Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepatic steatosis in NAFLD at US, with biopsy as t ...

Article GUID: 37787678


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