Stochastic Modeling for Medical Image Analysis

CRC Press

Stochastic Modeling for Medical Image AnalysisAuthor(s): Ayman El-Baz, Georgy Gimelfarb, Jasjit S. Suri\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781032237541, 978-1032237541\nSynopsis\nStochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis.\n\nToday, 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.\n\nTo 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 detectio.