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Signal processing strategies /

Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This help...

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Dades bibliogràfiques
Altres autors: El-Baz, Ayman S. (Editor), Suri, Jasjit S. (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: London, United Kingdom : Academic Press, [2025].
Col·lecció:Advances in Neural Engineering
Matèries:
Signal processing > Digital techniques.
Neural networks (Neurobiology)
Traitement du signal > Techniques numériques.
Réseaux neuronaux (Neurobiologie)
Signal processing > Digital techniques
Accés en línia:ScienceDirect
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Taula de continguts:
  • Front Cover
  • Signal Processing Strategies
  • Signal Processing Strategies
  • Copyright
  • Contents
  • Contributors
  • 1
  • Framework for segmentation, optimization, and recognition of multivariate brain tumors
  • 1. Introduction
  • 2. Literature review
  • 3. Background
  • 3.1 Segmentation
  • 3.2 Convolutional neural network
  • 3.3 Parameters optimization
  • 3.4 Transfer learning
  • 3.5 Data augmentation
  • 3.6 Metaheuristic optimization
  • 3.6.1 Sparrow search algorithm
  • 3.7 Performance metrics
  • 4. Methodology
  • 4.1 Dataset acquisition and preprocessing
  • 4.1.1 Datasets acquisition
  • 4.1.2 Datasets preprocessing
  • 4.2 Segmentation phase
  • 4.2.1 The U-Net model
  • 4.2.2 The U-Net++ model
  • 4.2.3 The attention U-Net model
  • 4.2.4 The V-Net model
  • 4.3 Learning and optimization
  • 4.3.1 Initialization
  • 4.3.2 Objective function calculation

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