索赔 发表于 2025-3-30 12:09:40
Dirk Wendtr approach is that accurate results were achieved with a small training data set. Using an atlas of a single CT and dual-echo UTE pair, we train a deep neural network model to learn the transform of MR intensities to CT using patches. We compared our CNN based model with a state-of-the-art registrat共同给与 发表于 2025-3-30 12:31:39
http://reply.papertrans.cn/89/8839/883811/883811_52.pngdefendant 发表于 2025-3-30 16:42:11
Gerhard Brunnr approach is that accurate results were achieved with a small training data set. Using an atlas of a single CT and dual-echo UTE pair, we train a deep neural network model to learn the transform of MR intensities to CT using patches. We compared our CNN based model with a state-of-the-art registratconscribe 发表于 2025-3-30 23:10:07
Max Matterlly correct, high-resolution, and realistic images of the human brain, with the necessary quality to allow further downstream analyses. The ability to generate a potentially unlimited amount of data not only enables large-scale studies of human anatomy and pathology without jeopardizing patient privadumbrate 发表于 2025-3-31 02:47:10
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