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

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使迷惑

https://doi.org/10.1057/9780230390089cuss the power of contextual processing, study insights from the human visual system, and study in some detail how the different of a deep convolutional neural networks work. We do this with an engineering view, for radiologists, in an intuitive way.

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https://doi.org/10.1007/978-3-319-94878-2Artificial Intelligence in Medical Imaging; Deep Learning in Medical Imaging; Machine Learning in Medi

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fiction

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https://doi.org/10.1007/978-1-4684-6486-3imaging data in order to support diagnosis, therapy planning and follow-up, and biomedical research. Medical image analysis is complicated by the complexity of the data itself—involving 3D tomographic images acquired with different modalities that are based on different physical principles, each wit