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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https://doi.org/10.1007/978-3-322-83166-8s wholeness, from neurons to the cortical structure and connections, and introduced new prognostic, diagnostic, and eventually therapeutic markers of many diseases of neurosurgical interest, including brain tumors and cerebrovascular malformations, as summarized in this chapter.

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Deep Learning: A Primer for Neurosurgeonsplementation of DL in neurosurgery. The potential for DL to revolutionize neurosurgical practices through improved diagnostics, patient-specific surgical planning, and the advent of intelligent surgical robots is underscored, promising a future where technology and healthcare converge to offer unprecedented solutions in neurosurgery.

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Computer Vision in Digital Neuropathologyassification of brain tumors, and quantitative assessment of tissue biomarkers. In addition, we further delve into the challenges and opportunities presented by large-scale image datasets and the integration of digital pathology into neurosurgical practice.

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