Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management / Edition 1

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management / Edition 1

by R. N. G. Naguib, Gajanan V. Sherbet
     
 

ISBN-10: 0849396921

ISBN-13: 9780849396922

Pub. Date: 06/22/2001

Publisher: Taylor & Francis

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 j ust beginning to be realized. Research and case studies are mostly sca ttered throughout various journals.This volume brings together the wor k of top

Overview

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 j ust beginning to be realized. Research and case studies are mostly sca ttered throughout various journals.This volume brings together the wor k of top researchers-primarily clinicians-who present the results of t heir state-of-the-art work with ANNs as applied to nearly all major ar eas of cancer for diagnosis, prognosis, and management of the disease.

Product Details

ISBN-13:
9780849396922
Publisher:
Taylor & Francis
Publication date:
06/22/2001
Series:
Biomedical Engineering Series, #4
Pages:
216
Product dimensions:
7.20(w) x 10.30(h) x 0.71(d)

Table of Contents

Introduction to Artificial Networks and Their Use in Cancer Diagnosis, Prognosis, and Patient Management, R.N.G. Naguib and G.V. Sherbet
Analysis of Molecular Prognostic Factors in Breast Cancer by Artificial Neural Networks, B. Angus, T.W.J. Lennard, R.N.G. Naguib, and G.V. Sherbet
Artificial Neural Approach to Analyzing the Prognostic Significance of DNA Ploidy and Cell Cycle Distribution of Breast Cancer Aspirate Cells, R.N.G. Naguib and G.V. Sherbet
Neural Networks for the Estimation of Prognosis in Lung Cancer, H. Esteva, M. Bellotti, and A.M. Marchevsky
The Use of a Genetic Algorithm Neural Network (GANN) for Prognosis in Surgically Treated Non-Small Cell Lung Cancer (NSCLC), M.F. Jefferson, N. Pendelton, S.B. Lucas, and M.A. Horan
The Use of Machine Learning in Screening for Oral Cancer, P.M. Speight and P. Hammond
Outcome Prediction of Oesophago-Gastric Cancer Using Neural Analysis of Pre- and Post-Operative Parameters, J. Wayman and S.M. Griffin
Artificial Neural Networks in Urologic Oncology, T.H. Douglas and J.W. Moul
Neural Networks in Urologic Oncology, C. Niedernerger and D. Ridout
Comparison of a Neural Network with High Sensitivity and Specificity to Free/Total Serum PSA for Diagnosing Prostate Cancer in Men with PSA less than 4.0 ng/ml, T.A. Stamey, S.D. Barnhill, Z. Zhang, C.M. Yemoto, H. Zhang, and K. Rama Madyastha
Artificial Neural Networks and Prognosis in Prostate Cancer, F.C. Hamdy
Comparison Between Urologists and Artificial Neural Networks in Bladder Cancer Outcome Prediction, K.N. Qureshi and J.K. Mellon
A Probabilistic Neural Network Framework for Detection of Malignant Melanoma, M. Hintz-Madsen, L.K. Hansen, J. Larsen, and K.T. Drzewiecki

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