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Artificial Neural Networks in Biomedicine /

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This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data p...

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Bibliographic Details
Main Author: Lisboa, Paulo J. G.
Corporate Author: SpringerLink (Online service)
Other Authors: Ifeachor, Emmanuel C., Szczepaniak, Piotr S.
Format: eBook
Language:English
Published: London : Springer London : Imprint : Springer, 2000.
Series:Perspectives in neural computing.
Subjects:
Computer science.
Medical records > Data processing.
Artificial intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Tutorials: The Bayesian Paradigm: Second Generation Neural Computing
  • The Role of the Artificial Neural Network in the Characterisation of Complex System and the Prediction of Disease
  • Genetic Evolution of Neural Network Architectures
  • Computer-Aided Diagnosis: The Application of PAPNET to Diagnostic Cytology
  • ProstAsure Index - a Serum-Based Composite Diagnostic Index for Early Detection of Prostate Cancer
  • Neurometric Assessment of Adequacy of Intraoperative Anaesthetic
  • Tumour Identification from Nuclear Magnetic Resonance Spectra
  • Classifying Spinal Measurements Using a Radial Basis Function Network
  • GEORGIA: An Overview of a Neural Network System for the Diagnosis of Lung Conditions
  • Patient Monitoring Using an Artificial Neural Network
  • Benchmark of Approaches to Sequential Diagnosis
  • Signal Processing: Independent Components Analysis
  • Rest EEG Hidden Dynamic as a Discriminant for Brain Tumour Classification
  • Artificial Neural Network Control on Functional Electrical Stimulation (FES)
  • Assisted Gait for Persons with Spinal Cord Injury
  • The Application of Neural Networks to Interpret Evoked Potential Waveforms. Image Processing: Intelligent Decision Support Systems for the Cytodiagnosis of Breast Carcinoma
  • A Neural-Based System for the Automatic Classification and Follow-Up of Diabetic Retinopathies
  • Review of Neural Networks for Automated Image Analysis in Cytogenics
  • The Relevance of Features and Primitives and Representation Structures for Multichannel Image Processing
  • Application of Neural Networks in the Diagnosis of Pathological Speech
  • Conclusion.