chapter 1 INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS AND THEIR USE IN CANCER DIAGNOSIS, PROGNOSIS, AND PATIENT MANAGEMENT -- chapter 2 ANALYSIS OF MOLECULAR PROGNOSTIC FACTORS IN BREAST CANCER BY ARTIFICIAL NEURAL NETWORKS -- chapter 3 ARTIFICIAL NEURAL APPROACH TO ANALYSING THE PROGNOSTIC SIGNIFICANCE OF DNA PLOIDY AND CELL CYCLE DISTRIBUTION OF BREAST CANCER ASPIRATE CELLS -- chapter 4 NEURAL NETWORKS FOR THE ESTIMATION OF PROGNOSIS IN LUNG CANCER -- chapter 5 THE USE OF A GENETIC ALGORITHM NEURAL NETWORK (GANN) FOR PROGNOSIS IN SURGICALLY TREATED NONSMALL CELL LUNG CANCER (NSCLC) -- chapter 6 THE USE OF MACHINE LEARNING IN SCREENING FOR ORAL CANCER -- chapter 7 Outcome Prediction of Oesophago-Gastric Cancer Using Neural Analysis of Pre- and Postoperative Parameters -- chapter 8 Artifical Neural Networks in Urologic Oncology -- chapter 9 NEURAL NETWORKS IN UROLOGIC ONCOLOGY -- chapter 10 Comparison of a Neural Network with High Sensitivity and Specificity of Free/Total Serum PSA for Diagnosing Prostate Cancer in Men with a PSA < 4.0 ng/mL -- chapter 11 ARTIFICIAL NEURAL NETWORKS AND PROGNOSIS IN PROSTATE CANCER -- chapter 12 COMPARISON BETWEEN UROLOGISTS AND ARTIFICIAL NEURAL NETWORKS IN BLADDER CANCER OUTCOME PREDICTION -- chapter 13 A PROBABILISTIC NEURAL NETWORK FRAMEWORK FOR THE DETECTION OF MALIGNANT MELANOMA.