hurricane
发表于 2025-3-30 11:18:34
http://reply.papertrans.cn/63/6219/621840/621840_51.png
啤酒
发表于 2025-3-30 14:49:02
Uwe Westphalative (ADNI), and conduct some experiments to evaluate their effect in two tasks of AD diagnosis, including AD identification and mild cognitive impairment (MCI) conversion prediction. Experimental results demonstrate that our UDA strategy is effective to learn a reliable mapping to high-quality MR
Metastasis
发表于 2025-3-30 17:38:48
http://reply.papertrans.cn/63/6219/621840/621840_53.png
Neonatal
发表于 2025-3-30 23:36:00
http://reply.papertrans.cn/63/6219/621840/621840_54.png
EPT
发表于 2025-3-31 04:31:53
Uwe Westphalzation in training deep networks. In our empirical study, we use MRI-based brain regional measurements as features to conduct the CN vs MCI and AD vs MCI binary classifications. We compare the balanced accuracy of our model with other machine learning models and deep neural network loss functions th
GLIDE
发表于 2025-3-31 05:02:04
http://reply.papertrans.cn/63/6219/621840/621840_56.png
contrast-medium
发表于 2025-3-31 10:28:59
http://reply.papertrans.cn/63/6219/621840/621840_57.png
芳香一点
发表于 2025-3-31 15:18:57
http://reply.papertrans.cn/63/6219/621840/621840_58.png
lacrimal-gland
发表于 2025-3-31 19:22:00
http://reply.papertrans.cn/63/6219/621840/621840_59.png
品尝你的人
发表于 2025-3-31 23:21:40
Uwe Westphal adversarial term. The adversarial term adopts a generator called Residual Attention U-Net (., RAU-Net) to produce the probability maps that cannot be distinguished by the ground-truth. Based on the adversarial model, we can simultaneously estimate the probabilities of many pixels with high-order co