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Record Nr. |
UNINA9910483153003321 |
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Autore |
Shaykh Khà„lid |
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Titolo |
Artificial Intelligence in Breast Cancer Early Detection and Diagnosis / / by Khalid Shaikh, Sabitha Krishnan, Rohit Thanki |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XII, 107 p. 23 illus., 9 illus. in color.) |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Artificial intelligence |
Radiology |
Machine learning |
Biomedical Engineering and Bioengineering |
Artificial Intelligence |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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Discusses cancer treatment based on geographical differences and cultural characteristics. |
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