Artificial Intelligence Techniques In Breast Cancer Diagnosis & Prognosis

The main aim of this study is to present a sample of research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages - such as adaptation, fault tolerance, learning and human-like behaviour - over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. The book contains contributions from Australia, Germany, Italy and the USA.