讥笑
发表于 2025-3-23 12:18:27
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哺乳动物
发表于 2025-3-23 14:37:00
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高调
发表于 2025-3-23 21:41:56
,Nonlinear Representation and Dimensionality Reduction,e been developed to process the high-dimensional data where the intrinsic dimensions are assumed to be much lower. In the very ideal case, data can be regressed linearly and DR can be performed by principal component analysis. This chapter explains the theories, principles, and practices of DR techn
colostrum
发表于 2025-3-24 02:07:36
,Deep Learning Techniques for Medical Image Segmentation and Object Recognition,of the output diagnosis. Therefore, in order to safely utilize DL algorithms in the medical field, it is desirable to design the models to transparently explain the reason for making the output diagnosis rather than a black-box. For explainable DL, a systematic study is needed to rigorously analyze
责任
发表于 2025-3-24 02:31:55
Deep Learning for Dental Cone-Beam Computed Tomography,P) algorithm. The presence of metallic objects in an imaging subject violates the model’s assumption that the CT sinogram data is equal to the Radon transform of an image. FBP ignores the polychromatic nature of the X-ray data ., which has nonlinear dependence on the distribution of the metallic obj
legitimate
发表于 2025-3-24 06:30:27
,Artificial Intelligence for Digital Dentistry,n essential tool for almost all processes, including virtual treatment planning and on-screen simulation of surgical or dental treatment. Noting that the dental regions of 3D CT data do not have the level of resolution to be used directly for treatment, the jaw–tooth composite model, which accuratel
让空气进入
发表于 2025-3-24 12:09:59
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栏杆
发表于 2025-3-24 15:55:59
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Debate
发表于 2025-3-24 23:04:14
https://doi.org/10.1007/978-3-658-15386-1of the output diagnosis. Therefore, in order to safely utilize DL algorithms in the medical field, it is desirable to design the models to transparently explain the reason for making the output diagnosis rather than a black-box. For explainable DL, a systematic study is needed to rigorously analyze
真繁荣
发表于 2025-3-25 00:45:26
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