Titlebook: Artificial Intelligence in Medical Imaging; Opportunities, Appli Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Book 2019 Springer Nature

詞根詞綴法

Enterprise Imaginged multimedia archives, it is now known as enterprise imaging platform. Several aspects, like governance, interfaces, access and privacy rules, etc., are relevant for a successful implementation of an enterprise imaging platform. Such data repositories could be perfect sources for the development, a

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Imaging Biomarkers and Imaging Biobanks reproducible, but they also have to show a clear efficacy in the detection and diagnosis of the disease and/or in the evaluation of treatment response. This efficacy must be confirmed by a close relationship with disease hallmarks, which allows them to act as surrogate indicators of relevant clinic

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Cardiovascular Diseasesardiovascular disease. Machine learning and deep learning in particular will have a fundamental and lasting impact on all of these modalities. Whereas deep learning is mostly discussed in the context of image interpretation, we show that the impact is much broader than this. The entire imaging chain

MOAT

Colonoscopy

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Tractable

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