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.
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Inside This Book
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First Sentence:
Breast cancer is the most common malignancy in women in the western world after lung cancer. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Medical Physics, Med Phys, New York, The Explainer, The Professor, Academic Radiology, National Cancer Institute, Parameter Value, Poor Good, Academic Press, Trans Med Imaging, American Journal of Roentgenology, Diseases of the Breast, Englewood Cliffs, First Life Birth, Invest Radiol, Lippincott-Raven Publishers, Poor Node, World Congress New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Breast cancer is the most common malignancy in women in the western world after lung cancer. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Medical Physics, Med Phys, New York, The Explainer, The Professor, Academic Radiology, National Cancer Institute, Parameter Value, Poor Good, Academic Press, Trans Med Imaging, American Journal of Roentgenology, Diseases of the Breast, Englewood Cliffs, First Life Birth, Invest Radiol, Lippincott-Raven Publishers, Poor Node, World Congress New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Citations (learn more)
This book cites 61
books:
See all 61 books this book cites
- Diseases of the Breast (Diseases of the Breast ( Harris)) by Jay R. Harris on page 13, and page 95
- Classification and Regression Trees by Leo Breiman on page 95, and page 323
- Teaching Atlas of Mammography by Laszlo Tabar on page 143, and page 249
- Genetic Algorithms [VHS] by KOZA on page 10, and page 14
- Neural Network Training Using Genetic Algorithms (Series in Machine Perception and Artificial Intelligence) by A. J. F. Van Rooij in Front Matter, and page 15
See all 61 books this book cites
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