Description
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs.
The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
Author: Guorong Wu
Publisher: Academic Press
Published: 08/09/2016
Pages: 512
Binding Type: Hardcover
Weight: 2.69lbs
Size: 9.40h x 7.60w x 1.20d
ISBN13: 9780128040768
ISBN10: 0128040769
BISAC Categories:
- Computers | Software Development & Engineering | Computer Graphics
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit
- Medical | General
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