Stochastic Modeling for Medical Image Analysis PDF
By:Ayman El-Baz,Georgy Gimel’farb,Jasjit S. Suri
Published on 2015-11-18 by CRC Press
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.
This Book was ranked at 28 by Google Books for keyword medical imaging computer science.
Book ID of Stochastic Modeling for Medical Image Analysis's Books is VYzwCgAAQBAJ, Book which was written byAyman El-Baz,Georgy Gimel’farb,Jasjit S. Surihave ETAG "pJlowL3UTCE"
Book which was published by CRC Press since 2015-11-18 have ISBNs, ISBN 13 Code is 9781466599086 and ISBN 10 Code is 1466599081
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Book which have "284 Pages" is Printed at BOOK under CategoryMedical
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