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- Author: Lina Arbash Meinel
- Publisher: VDM Verlag
- Year: 2008
- Pages: 120
- ISBN-10: 3639080726
- ISBN-13: 9783639080728
- Format: 15.2 x 22.9 x 0.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Breast Cancer Characterization Computer-Aided Diagnostic System for Breast MRI Mass Classification (e-book) (used book) | bookbook.eu
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Recently, death from breast cancer has dropped significantly in the United States due to early detection and effective treatment. DCE-MRI has emerged as a promising technique for detecting, diagnosing, and staging breast cancer. Computer-aided detection systems have proven to be useful for evaluating the large number of images produced. The next logical step is to implement computer-aided diagnostic systems. This book describes the development of a computer-aided diagnostic (CAD) research system for investigating breast MRI masses. It shows that computerized algorithms are reliable, have the potential to reduce inter and intra-observer variations, radiologist workload, and facilitate image interpretation. With an ever growing number of images and expanding clinical applications, CAD systems might play an integral role in breast imaging.
EXTRA 10 % discount with code: EXTRA
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- Author: Lina Arbash Meinel
- Publisher: VDM Verlag
- Year: 2008
- Pages: 120
- ISBN-10: 3639080726
- ISBN-13: 9783639080728
- Format: 15.2 x 22.9 x 0.6 cm, minkšti viršeliai
- Language: English English
Recently, death from breast cancer has dropped significantly in the United States due to early detection and effective treatment. DCE-MRI has emerged as a promising technique for detecting, diagnosing, and staging breast cancer. Computer-aided detection systems have proven to be useful for evaluating the large number of images produced. The next logical step is to implement computer-aided diagnostic systems. This book describes the development of a computer-aided diagnostic (CAD) research system for investigating breast MRI masses. It shows that computerized algorithms are reliable, have the potential to reduce inter and intra-observer variations, radiologist workload, and facilitate image interpretation. With an ever growing number of images and expanding clinical applications, CAD systems might play an integral role in breast imaging.
Reviews