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Books > Medicine > Other branches of medicine > Medical imaging
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Stochastic Modeling for Medical Image Analysis (Paperback)
Loot Price: R1,595
Discovery Miles 15 950
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Stochastic Modeling for Medical Image Analysis (Paperback)
Expected to ship within 12 - 19 working days
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Stochastic Modeling for Medical Image Analysis provides a brief
introduction to medical imaging, stochastic modeling, and
model-guided image analysis. Today, image-guided computer-assisted
diagnostics (CAD) faces two basic challenging problems. The first
is the computationally feasible and accurate modeling of images
from different modalities to obtain clinically useful information.
The second is the accurate and fast inferring of meaningful and
clinically valid CAD decisions and/or predictions on the basis of
model-guided image analysis. To help address this, this book
details original stochastic appearance and shape models with
computationally feasible and efficient learning techniques for
improving the performance of object detection, segmentation,
alignment, and analysis in a number of important CAD applications.
The book demonstrates accurate descriptions of visual appearances
and shapes of the goal objects and their background to help solve a
number of important and challenging CAD problems. The models focus
on the first-order marginals of pixel/voxel-wise signals and
second- or higher-order Markov-Gibbs random fields of these signals
and/or labels of regions supporting the goal objects in the
lattice. This valuable resource presents the latest state of the
art in stochastic modeling for medical image analysis while
incorporating fully tested experimental results throughout.
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