Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management (PDF)
(Sprache: Englisch)
The use of artificial neural networks (ANNs) has proliferated over the past few years, and the medical applications of ANNs have touched on a variety of areas. However, their application to cancer research is just beginning to be realized. Research and case...
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The use of artificial neural networks (ANNs) has proliferated over the past few years, and the medical applications of ANNs have touched on a variety of areas. However, their application to cancer research is just beginning to be realized. Research and case studies are mostly scattered throughout various journals.This volume brings together the work of top researchers-primarily clinicians-who present the results of their state-of-the-art work with ANNs as applied to nearly all major areas of cancer for diagnosis, prognosis, and management of the disease.
Autoren-Porträt
Raouf Naguib, Ph.D., is Professor of Biomedical Computing in the School of Mathematical and Information Sciences, Coventry University, England, where he also leads the Biomedical Computing Research Group. Prior to this appointment, he was a Lecturer at the University of Newcastle upon Tyne, England. Professor Naguib received the degrees of Ph.D., M.Sc. (with distinction), and D.I.C. from Imperial College of Science, Technology and Medicine, University of London, England, and the B.Sc. degree from Cairo University, Egypt. In 1995-1996 he was awarded the Fulbright Cancer Fellowship to pursue his research at the University of Hawaii in Mãnoa on the applications of artificial neural networks in breast cancer diagnosis and prognosis. Professor Naguib is a Chartered Engineer and a member of the Institution of Electrical Engineers (IEE), the Institute of Physics and Engineering in Medicine (IPEM), the American Association for Cancer Research (AACR), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is the representative of IEEE Engineering in Medicine and Biology Society (EMBS) to the European Society for Engineering and Medicine, and the IEEE-USA Committee on Communications and Information Policy. He is also a Special Area Editor for the IEEE Transactions on Information Technology in Biomedicine. Professor Naguib has worked extensively on the applications of artificial neural networks in the field of clinical oncology. This work was also combined with studies on image processing, image cytometry and the stratification of significant conventional and experimental prognostic markers in a variety of cancers. His current interests lie in the applications of evolutionary computational models, fuzzy logic, genetic algorithms and parallel image processing methodologies to cancer diagnosis, prognosis and disease management. He also has a special interest in content-based image retrieval and human form perception for histopathological identifi
Bibliographische Angaben
- 2001, 216 Seiten, Englisch
- Herausgegeben: R. N. G. Naguib, G. V. Sherbet
- Verlag: Taylor & Francis
- ISBN-10: 1420036386
- ISBN-13: 9781420036381
- Erscheinungsdatum: 22.06.2001
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