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Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images
The network was trained by a custom synthetic colonoscopy database herein constructed and released, composed of 248, 400 frames (47 videos), with depth annotations at the level of pixels.
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
At this moment, databanks worldwide contain brain images of previously unimaginable numbers.
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