Description

Book Synopsis

Computational Neurosurgery: Foundation.- Part I: Foundations of Computational Neurosurgery.- Declaration of Computational Neurosurgery.- Artificial Intelligence Methods.- Deep Learning: A Primer for Neurosurgeons.- Mathematical background of Machine Learning & Deep Learning.- Computational fractal-based Neurosurgery.- Graph theory and modeling of network topology in clinical neurosurgery.- Computer Vision in digital neuropathology.- Bayesian Neural Networks in predictive neurosurgery.- Big data in neurosurgery.- Large Language Models in Neurosurgery.- Part II: Computational Neurosurgery Applications & Translational Aspects.- AI and deep learning in brain tumors.- Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond Glioma.- Machine learning and radiomics in gliomas.- Machine Learning in fluorescence-guided brain tumor surgery.- AI and computational modeling in skull base surgery.- Applications and Integration of Ra

Computational Neurosurgery

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    A Hardback by Antonio Di Ieva

    £237.49

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      Book details

      Publisher Springer
      Published 12/27/2024
      ISBN-13 9783031648915
      978-3031648915
      ISBN-10 3031648919
      Also in:
      Neurosciences

      Description

      Book Synopsis

      Computational Neurosurgery: Foundation.- Part I: Foundations of Computational Neurosurgery.- Declaration of Computational Neurosurgery.- Artificial Intelligence Methods.- Deep Learning: A Primer for Neurosurgeons.- Mathematical background of Machine Learning & Deep Learning.- Computational fractal-based Neurosurgery.- Graph theory and modeling of network topology in clinical neurosurgery.- Computer Vision in digital neuropathology.- Bayesian Neural Networks in predictive neurosurgery.- Big data in neurosurgery.- Large Language Models in Neurosurgery.- Part II: Computational Neurosurgery Applications & Translational Aspects.- AI and deep learning in brain tumors.- Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond Glioma.- Machine learning and radiomics in gliomas.- Machine Learning in fluorescence-guided brain tumor surgery.- AI and computational modeling in skull base surgery.- Applications and Integration of Ra

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