Biomedical Computing for Breast Cancer Detection and Diagnosis PDF
By:Wellington Pinheiro dos Santos,Washington Wagner Azevedo da Silva,Maira Araujo de Santana
Published on 2020 by IGI Global
\u003cp\u003eDespite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. \u003c/p\u003e\u003cp\u003e\u003cb\u003eBiomedical Computing for Breast Cancer Detection and Diagnosis\u003c/b\u003e is a collection of research that 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. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.\u003c/p\u003e
This Book was ranked at 10 by Google Books for keyword medical imaging computer science.
Book ID of Biomedical Computing for Breast Cancer Detection and Diagnosis's Books is mLgIEAAAQBAJ, Book which was written byWellington Pinheiro dos Santos,Washington Wagner Azevedo da Silva,Maira Araujo de Santanahave ETAG "COFONgoh9Uw"
Book which was published by IGI Global since 2020 have ISBNs, ISBN 13 Code is 9781799834571 and ISBN 10 Code is 1799834573
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