Titlebook: 8th International Conference on Advancements of Medicine and Health Care Through Technology; Proceedings of MEDIT Simona Vlad,Nicolae Mariu

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Margret Liehn,Hannelore Schlautmannthe output. In a deep-learning with transfer learning context, an ultrasonography image dataset is cleaned. The performance of the cleaned dataset against the original one is measured using the accuracy and area under the curve metrics running three different network architectures: AlexNet, GoogLeNe

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labile

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https://doi.org/10.1007/978-3-662-65507-8involve. The second part presents a method by which the influence of visual stress can be effectively and objectively evaluated, in a form that occurs very frequently in everyday life. The method consists in evaluating 10 subjects, both in the absence and presence of visual stress, five of them bein

Myocarditis

L?sungen zu Relationen und Abbildungen the influence of a conventional and a planar Yagi-Uda antennas, each functioning at the same frequency of approximately 2.6?GHz, on three types of human tissue present in their vicinity, namely skin, fat and muscle. For this, the Specific Absorption Rate (SAR), electric field and magnetic field are

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L?sungen zur vollst?ndigen Induktion well-known intelligent algorithmic tools for interpreting genomic and metagenomic data. These data can come in different formats and serve different purposes. Integrating these heterogenous data sources is a necessary task in order to use different pipelines to obtain the actionable information. On

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L?sungshinweise Metrische R?umeystem, or simply body weight, each of these branches contributes to a person‘s overall health. It is important to monitor certain body functions and characteristics as often as possible so that we can prevent or, in unfortunate situations, treat health problems early. The developed mobile applicatio

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