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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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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: El-Baz, Ayman S. (Editor), Suri, Jasjit S. (Editor)
Format: eBook
Language:English
Published: London, United Kingdom : Academic Press, [2025].
Series:Advances in Neural Engineering
Subjects:
Signal processing > Digital techniques.
Neural networks (Neurobiology)
Traitement du signal > Techniques numériques.
Réseaux neuronaux (Neurobiologie)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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