Table of contents for Artificial neural networks in biomedicine / Paulo J.G. Lisboa, Emmanuel C. Ifeachor, and Piotr S. Szczepaniak (eds.) .


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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.


Library of Congress subject headings for this publication:
Artificial intelligence -- Medical applications.
Neural networks (Computer science)
Diagnosis -- Data processing.
Expert systems (Computer science)