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Stochastic Modeling for Medical Image Analysis
Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis.Today, image-guided …
Handbook of Texture Analysis
The major goals of texture research in computer vision are to understand, model and process texture, and ultimately, to simulate the human visual learning process using computer …
Level Set Method in Medical Imaging Segmentation
Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for …
Cloud Computing in Medical Imaging
Today’s healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, …
Handbook of Texture Analysis
The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer …
Big Data in Multimodal Medical Imaging
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve …
Machine Learning in Medicine
Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several computer-aided diagnosis …
Handbook of Texture Analysis, Two-Volume Set
This two-volume handbook provides a comprehensive view of texture analysis in both AI-based industrial and medical imaging applications. The first volume covers texture analysis …
Prostate Cancer Imaging
This book covers novel strategies and state of the art approaches for automated non-invasive systems for early prostate cancer diagnosis. Prostate cancer is the most frequently …