BioCompNet: a deep learning workflow enabling automated body composition analysis toward precision management of cardiometabolic disorders
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Nov-2025 22:11 ET (17-Nov-2025 03:11 GMT/UTC)
A research paper by scientists at Shanghai Jiao Tong University School of Medicine presented BioCompNet—an end-to-end deep learning workflow that integrates dual-parametric magnetic resonance imaging (MRI) sequences (water/fat) with a hierarchical U-Net architecture to enable fully automated quantification of 15 biomechanically critical BC components..
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