Artificial Neural Networks in Biomedicine by P.J.G. Lisboa & Emmanuel C. Ifeachor & Piotr S. Szczepaniak

Artificial Neural Networks in Biomedicine Provides a survey of artificial neural network applications in biomedical diagnosis, and laboratory data analysis. This volume looks at biomedical applications, which involve customising neural network technology to resolve specific difficulties with data processing. It is useful to computer scientists and neural network practitioners.

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 processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. "Artificial Neural Networks in Biomedicine" will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.
Author(s) : P.J.G. Lisboa & Emmanuel C. Ifeachor Format : Paperback Book
ISBN-10 : 1852330058 ISBN-13 : 9781852330057
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Product Details:

Series Title : Perspectives in Neural Computing S.

Country Publication : United Kingdom

Publication Date : 01/02/2000

Publisher : Springer-Verlag London Ltd

Page Length : XIV, 287mm

Page Size : 240mm