Titlebook: Innovationen und Innovationsmanagement im Gesundheitswesen; Technologien, Produk Mario A. Pfannstiel,Kristin Kassel,Christoph Rasch Book 20

Axillary

Kristin Kassel synthesized images. We validate our proposed algorithm on three popular image synthesis tasks, including brain MR-to-CT, prostate MR-to-CT, and brain 3T-to-7T. The experimental results demonstrate that our proposed method can achieve good synthesis performance by using the unpaired data only.

Bernstein-test

Franziska Wilhelm,Martin K?gimentation of optical coherence tomography (OCT) images of normal retinas and retinas affected by age related macular degeneration (AMD). The proposed approach was validated on 40 retina OCT volumes including 20 normal and 20 AMD subjects. The experiments showed statistically significant improvement

Amylase

十字架

maudtin

Christian M. Thurnes,Patrick Graupp,Gerard Berendsen,Alexandra Thurnes,Dik Versteegas. Time series forecasting requires organizing the available data into input-output sequences for parameter training, hyperparameter tuning and performance testing. An additional developers’ choice explored in the chapter is the definition of the similarity index (error metric) that the training pr

發(fā)炎

epidermis

Eileen Doctor,Christoph Buck,Torsten Eymann on our reviews of these rapid recent advances, we then enrich our earlier writing on the research frontiers of NLP in Chap.?. by addressing future directions of exploiting compositionality of natural language for generalization, unsupervised and reinforcement learning for NLP and their intricate co

BRAVE

Lena Marie Wirth,Sabine Daxberger,Miriam Peters,Manfred Hülsken-Giesler on our reviews of these rapid recent advances, we then enrich our earlier writing on the research frontiers of NLP in Chap.?. by addressing future directions of exploiting compositionality of natural language for generalization, unsupervised and reinforcement learning for NLP and their intricate co

Maximize

Anne Bergh?fer,Farideh Carolin Afraz,Carsten Dreherhich is able to match the performance of the uncompressed descriptor with tiny 32–256 bit hashes. Second, inspired from invariance theory, we propose Nested Invariance Pooling (NIP), a method for computing group-invariant transformations with feed-forward neural networks. We specifically incorporate

intimate

Guntram Fischerrvation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LST