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Title Biomedical computing for breast cancer detection and diagnosis
Other creators Santos Wellington Pinheiro dos ; Silva Washington Wagner Azevedo da ; Santana Maira Araujo de
Collection Электронные книги зарубежных издательств ; Общая коллекция
Subjects Diagnostic imaging — Data processing. ; Breast — Cancer — Diagnosis. ; Diagnosis — Data processing. ; Breast Neoplasms — diagnosis ; Diagnosis, Computer-Assisted ; Imagerie pour le diagnostic — Informatique. ; Diagnostics — Informatique. ; EBSCO eBooks
Document type Other
File type PDF
Language English
Rights Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key on1130379399
Record create date 12/6/2019

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"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"--.

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  • 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
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