玩笑 发表于 2025-3-25 03:48:49
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Piotr Lech,Krzysztof Okarma,Mateusz Tecławerstanden wird, hat nicht immer existiert, weder dem Bewußtsein noch dem Gegenstand nach. Die sogenannte ‚Geschichtlichkeit des Menschen ‘ist kein überzeitliches Phänomen. Das historische Bewußsein — mit Geschichte als Wissenschaft und Geschichtsphilosophie und Evolutionstheorie als Lehre der gesetzreflection 发表于 2025-3-25 18:36:25
http://reply.papertrans.cn/47/4615/461441/461441_24.png使习惯于 发表于 2025-3-25 21:21:10
http://reply.papertrans.cn/47/4615/461441/461441_25.pngComprise 发表于 2025-3-26 02:57:40
Corneal Endothelial Grid Structure Factor Based on Coefficient of Variation of the Cell Sides Lengthxagonality (H) and the relative standard deviation of the cell surface (CV). Both the factors do not take into account the length measure of the grid cells, which has been presented in an article on the sample images. The authors propose an additional factor, the average relative standard deviation慢慢流出 发表于 2025-3-26 04:35:47
A Distributed Approach for Development of Deformable Model-Based Segmentation Methodstion stages of the segmentation methods usually require a lot of time and resources, since the variations of the tested algorithms have to be constantly evaluated on many different data sets. To address this problem, we extended our web platform for development of deformable model-based methods withTincture 发表于 2025-3-26 09:49:32
Enhancement of Low-Dose CT Brain Scans Using Graph-Based Anisotropic Interpolationch affects image quality and hinders image segmentation. The method introduced in this paper reduces influence of the distortion by retrieval of pixel intensities under the ‘grains’ using graph-based anisotropic interpolation. Results of applying the introduced method to low-dose CT scans of hydroce直言不讳 发表于 2025-3-26 13:10:47
http://reply.papertrans.cn/47/4615/461441/461441_29.pngLUMEN 发表于 2025-3-26 18:23:21
Preprocessing Using Maximal Autocovariance for Spatio–Temporal Track–Before–Detect Algorithmtation of the maximal autocovariance of signal. The differences are emphasized using Spatio–Temporal Track–Before–Detect algorithm so tracking such objects is possible. The possibilities of this technique are shown in a few illustrative examples and discussed. The detection of weak signals hidden in