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Titlebook: Computational Neurosurgery; Antonio Di Ieva,Eric Suero Molina,Carlo Russo Book 2024 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-30 11:55:39 | 只看該作者
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發(fā)表于 2025-3-30 13:44:08 | 只看該作者
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發(fā)表于 2025-3-30 19:26:59 | 只看該作者
Applications and Integration of Radiomics for Skull Base Oncologyapproaches have enabled us to capture patterns from images imperceptible by the human eye. This rich source of data can be combined with a range of clinical features, holding the potential to be a noninvasive source of biomarkers. Applications of radiomics in skull base pathologies have centered aro
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發(fā)表于 2025-3-30 23:52:28 | 只看該作者
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發(fā)表于 2025-3-31 00:58:58 | 只看該作者
Computational Neurosurgery978-3-031-64892-2Series ISSN 0065-2598 Series E-ISSN 2214-8019
56#
發(fā)表于 2025-3-31 08:39:42 | 只看該作者
Der unersch?pfliche Albert Einsteincal prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one’s own experiences (Bayesian analysis) as well as recognizes complex statistical associations between prognostic and outcome variables (artificial neural networks).
57#
發(fā)表于 2025-3-31 09:14:56 | 只看該作者
https://doi.org/10.1007/978-3-031-64892-2deep learning; artificial intelligence; brain; neuroscience; neurosurgery; computational neuroscience; neu
58#
發(fā)表于 2025-3-31 16:35:31 | 只看該作者
978-3-031-64894-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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