332,90 €
369,89 €
-10% with code: EXTRA
Medical Image Analysis
332,90 € 
- We will send in 10–14 business days.
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine lear…
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- Publisher: Academic Press
- ISBN-10: 012813657X
- ISBN-13: 9780128136577
- Format: 19.1 x 23.5 x 3.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Medical Image Analysis (e-book) (used book) | bookbook.eu
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Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.EXTRA 10 % discount with code: EXTRA
332,90 €
369,89 €
We will send in 10–14 business days.
The promotion ends in 16d.23:40:36
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Academic Press
- ISBN-10: 012813657X
- ISBN-13: 9780128136577
- Format: 19.1 x 23.5 x 3.6 cm, softcover
- Language: English English
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.
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