杀菌剂 发表于 2025-3-28 15:31:50

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远地点 发表于 2025-3-28 19:36:50

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Libido 发表于 2025-3-29 02:46:02

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Erythropoietin 发表于 2025-3-29 05:13:41

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使迷惑 发表于 2025-3-29 11:11:54

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.

JUST 发表于 2025-3-29 15:21:31

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

臭名昭著 发表于 2025-3-29 17:53:15

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GRACE 发表于 2025-3-29 20:17:40

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fiction 发表于 2025-3-30 02:43:24

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苦笑 发表于 2025-3-30 04:50:37

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