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Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images
A. L. Goallec, S. Diai, et al.
This exciting research, conducted by Alan Le Goallec, Samuel Diai, Sasha Collin, Jean-Baptiste Prost, Théo Vincent, and Chirag J. Patel, presents a groundbreaking abdominal age predictor developed with convolutional neural networks. It showcases a high accuracy in predicting abdominal aging by analyzing liver and pancreas MRIs, illuminating key anatomical features and associated genetic factors.
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