"This book presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Acknowledgment
• Chapter 1: Prototype of a Low-Cost Impedance Tomography Based on the Open-Hardware Paradigm
• Chapter 2: Using Extreme Learning Machines and the Backprojection Algorithm as an Alternative to Reconstruct Electrical Impedance Tomography Images
• Chapter 3: Classification of Breast Lesions in Frontal Thermographic Images Using a Diagnosis Aid Intelligent System
• Chapter 4: Feature Selection Based on Dialectical Optimization Algorithm for Breast Lesion Classification in Thermographic Images
• Chapter 5: Computer Techniques for Detection of Breast Cancer and Follow Up Neoadjuvant Treatment
• Chapter 6: Breast Cancer Diagnosis With Mammography
• Chapter 7: The Evolution of New Trends in Breast Thermography
• Chapter 8: Thermography in Biomedicine
• Chapter 9: Imaging Techniques for Breast Cancer Diagnosis
• Chapter 10: Applications of the Use of Infrared Breast Images
• Chapter 11: Developing and Using Computational Frameworks to Conduct Numerical Analysis and Calculate Temperature Profiles and to Classify Breast Abnormalities
• Chapter 12: Applications of the Use of Infrared Breast Images
• Chapter 13: The Efforts of Deep Learning Approaches for Breast Cancer Detection Based on X-Ray Images
• Compilation of References
• About the Contributors
• Index