Multimodality Breast Imaging: Diagnosis and Treatment
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- Available on iOS & Android
Multimodality Breast Imaging: Diagnosis and Treatment
About This Book
Breast cancer is an abnormal growth of cells in the breast, usually in the inner lining of the milk ducts or lobules. It is currently the most common type of cancer in women in developed and developing countries. The number of women affected by breast cancer is gradually increasing and remains as a significant health concern. Researchers are continuously working to develop novel techniques to detect early stages of breast cancer. This book covers breast cancer detection, diagnosis, and treatment using different imaging modalities such as mammography, magnetic resonance imaging, computed tomography, positron emission tomography, ultrasonography, infrared imaging, and other modalities. The information and methodologies presented will be useful to researchers, doctors, teachers, and students in biomedical sciences, medical imaging, and engineering.
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Table of contents
- Table of Contents
- Preface
- Chapter 1: Detection of Architectural Distortion in Prior Mammograms using Statistical Measures of Angular Spread
- Chapter 2: Texture-based Automated Detection of Breast Cancer Using Digitized Mammograms: A Comparative Study
- Chapter 3: Case-based Clinical Decision Support for Breast Magnetic Resonance Imaging
- Chapter 4: Registration, Lesion Detection, and Discriminationfor Breast Dynamic Contrast-Enhanced MagneticResonance Imaging
- Chapter 5: Advanced Modality Imaging of the Systemic Spread of Breast Cancer
- Chapter 6: Nuclear Imaging with PET CT and PET Mammography
- Chapter 7: 3D Whole-Breast Ultrasonography
- Chapter 8: Diagnosis of Breast Cancer Using Ultrasound
- Chapter 9: Abnormal Lesion Detection from Breast Thermal Images Using Chaos with Lyapunov Exponents
- Chapter 10: Intelligent Rule-based Classification of ImageFeatures for Breast Thermogram Analysis
- Chapter 11: Infrared Imaging for Breast Cancer Detection withProper Selection of Properties: From AcquisitionProtocol to Numerical Simulation
- Chapter 12: Diffuse Optical Imaging of the Breast: Recent Progress
- Chapter 13: Computer Vision Theoretic Approach for Breast Cancer Diagnosis: Commonly Perceived Diagnostic Significance of Cytological Features and Feature Usability Analysis of an Existing Breast Cancer Database
- Chapter 14: Radiofrequency Ablation of Breast Neoplasms
- Chapter 15: Minimally Invasive Thermal Ablation for Breast Cancer
- Chapter 16: Correlated Microwave Acoustic Imaging for Breast Cancer Detection
- Chapter 17: Diagnostic Sensing of Specific Proteins in BreastCancer Cells Using Hollow-Core Photonic Crystal Fiber
- Chapter 18: Quality Assurance in Digital Mammography
- Index