Multimodality Breast Imaging: Diagnosis and Treatment
eBook - PDF

Multimodality Breast Imaging: Diagnosis and Treatment

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

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Multimodality Breast Imaging: Diagnosis and Treatment by Ng, E. Y. K.,Acharya, U. Rajendra,Rangayyan, Rangaraj M.,Suri, Jasjit S. in PDF and/or ePUB format, as well as other popular books in Medicine & Diagnostics Imaging. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Table of Contents
  2. Preface
  3. Chapter 1: Detection of Architectural Distortion in Prior Mammograms using Statistical Measures of Angular Spread
  4. Chapter 2: Texture-based Automated Detection of Breast Cancer Using Digitized Mammograms: A Comparative Study
  5. Chapter 3: Case-based Clinical Decision Support for Breast Magnetic Resonance Imaging
  6. Chapter 4: Registration, Lesion Detection, and Discriminationfor Breast Dynamic Contrast-Enhanced MagneticResonance Imaging
  7. Chapter 5: Advanced Modality Imaging of the Systemic Spread of Breast Cancer
  8. Chapter 6: Nuclear Imaging with PET CT and PET Mammography
  9. Chapter 7: 3D Whole-Breast Ultrasonography
  10. Chapter 8: Diagnosis of Breast Cancer Using Ultrasound
  11. Chapter 9: Abnormal Lesion Detection from Breast Thermal Images Using Chaos with Lyapunov Exponents
  12. Chapter 10: Intelligent Rule-based Classification of ImageFeatures for Breast Thermogram Analysis
  13. Chapter 11: Infrared Imaging for Breast Cancer Detection withProper Selection of Properties: From AcquisitionProtocol to Numerical Simulation
  14. Chapter 12: Diffuse Optical Imaging of the Breast: Recent Progress
  15. 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
  16. Chapter 14: Radiofrequency Ablation of Breast Neoplasms
  17. Chapter 15: Minimally Invasive Thermal Ablation for Breast Cancer
  18. Chapter 16: Correlated Microwave Acoustic Imaging for Breast Cancer Detection
  19. Chapter 17: Diagnostic Sensing of Specific Proteins in BreastCancer Cells Using Hollow-Core Photonic Crystal Fiber
  20. Chapter 18: Quality Assurance in Digital Mammography
  21. Index