Artificial intelligence techniques in breast cancer diagnosis and prognosis

• Other Authors: Jain, Ashlesha (Editor), Jain, Ajita (Editor), Jain, Sandhya (Editor), Jain, Lakhmi (Editor)
• Format: Book
• Language: English
• Published: Singapore World Scientific 2000
• Series: Series in machine perception and artificial intelligence 39
• Subjects: Breast Neoplasms > diagnosis; Breast Neoplasms > therapy; Artificial Intelligence; Diagnosis, Computer-Assisted > methods; Therapy, Computer-Assisted > methods
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xvii, 330 pages illustrations 23 cm
• Bibliography: Includes bibliographical references and index
• ISBN: 9789810243746; 981024374X

The main aim of this book is to present a sample of recent 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 behavior - over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis.This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA