Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis
eBook - PDF

Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis

  1. 348 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis

About this book

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.

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Yes, you can access Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis by Lakhmi C Jain, Ashlesha Jain, Ajita Jain in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. CONTENTS
  2. Contributors
  3. PREFACE
  4. Chapter 1 An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence
  5. Chapter 2 Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer
  6. Chapter 3 Decision Support in Breast Cancer: Recent Advances in Prognostic and Predictive Techniques
  7. Chapter 4 MammoNet: a Bayesian Network Diagnosing Breast Cancer
  8. Chapter 5 Predicting Prognosis and Treatment Response in Breast Cancer Patients
  9. Chapter 6 Computer-Aided Breast Cancer Diagnosis
  10. Chapter 7 Which Decision Support Technologies Are Appropriate for the Cytodiagnosis of Breast Cancer?
  11. Chapter 8 Xcyt: a System for Remote Cytological Diagnosis and Prognosis of Breast Cancer
  12. INDEX