| Description |
1 online resource (xii, 107 pages) : illustrations (some color) |
| Contents |
An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence -- Breast Cancer and Its Types -- Artificial Intelligence -- Breast Cancer Screening Using AI Methods -- Case Study for Screening of Breast Cancer |
| Summary |
This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening. They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 24, 2021) |
| Subject |
Breast -- Cancer -- Diagnosis -- Data processing
|
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Diagnostic imaging -- Data processing
|
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Artificial intelligence -- Medical applications.
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Image processing.
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Machine learning.
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Machine Learning
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image processing.
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Breast -- Cancer -- Diagnosis -- Data processing
|
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Image processing
|
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Diagnostic imaging -- Data processing
|
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Artificial intelligence -- Medical applications
|
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Artificial intelligence
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Machine learning
|
| Form |
Electronic book
|
| Author |
Krishnan, Sabitha, author
|
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Thanki, Rohit M., author
|
| ISBN |
3030592081 |
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9783030592080 |
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