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Titlebook: Implantate und Transplantate in der Plastischen und Wiederherstellungschirurgie; Horst Cotta (Direktor),Abdul Kader Martini (Oberar Confer

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51#
發(fā)表于 2025-3-30 08:36:47 | 只看該作者
52#
發(fā)表于 2025-3-30 16:26:50 | 只看該作者
C. J. Wirth,M. J?gerductions. Weeds are one of the main factors affecting the yield and quality of farming products. The PA is one of the technological solutions to detect weeds in corn crops through the analysis of digital images to carry out different actions that allow reducing the risk of production in a traditiona
53#
發(fā)表于 2025-3-30 18:35:29 | 只看該作者
H. Kehrductions. Weeds are one of the main factors affecting the yield and quality of farming products. The PA is one of the technological solutions to detect weeds in corn crops through the analysis of digital images to carry out different actions that allow reducing the risk of production in a traditiona
54#
發(fā)表于 2025-3-30 22:30:16 | 只看該作者
55#
發(fā)表于 2025-3-31 03:06:49 | 只看該作者
P. Thümler,K.-H. Bergh,E. Koob extract meaningful information from these dense datasets, the need for effective graphical representations that take advantage of the human’s visual perception capabilities is revealed. The visualization of this kind of data is a complex task. These big datasets are in general inherently multidimen
56#
發(fā)表于 2025-3-31 05:26:18 | 只看該作者
57#
發(fā)表于 2025-3-31 09:47:29 | 只看該作者
58#
發(fā)表于 2025-3-31 14:04:46 | 只看該作者
H. E. K?hnleindicine. The radiomic characteristics of metabolic imaging modalities such as Positron Emission Tomography (PET) have been postulated as surrogates for underlying tumor biology and thus prognosis. Radiomic data can be extracted to discover characteristics and patterns of evolution (in serial images,
59#
發(fā)表于 2025-3-31 20:51:59 | 只看該作者
60#
發(fā)表于 2025-4-1 01:40:28 | 只看該作者
H. Reichertdicine. The radiomic characteristics of metabolic imaging modalities such as Positron Emission Tomography (PET) have been postulated as surrogates for underlying tumor biology and thus prognosis. Radiomic data can be extracted to discover characteristics and patterns of evolution (in serial images,
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