This two-volume set on Deformable Models: Biomedical and Clinical Applications & Theory and Biomaterial Applications provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by well-known researchers in this field, and the presentation style goes beyond an intricate abstraction of the theory into real application of the methods and description of the algorithms that were implemented. As such these chapters will serve the main goal of the editors of these two volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues.
Overall, the thirty-one chapters in the two volumes provide an elegant crosssection of the theory and application of variational and PDE approaches in medical image analysis. Graduate students and researchers at various levels of familiarity with these techniques will find the two volumes very useful for understanding the theory and algorithmic implementations. In addition, the various case studies provided demonstrate the power of these techniques in clinical applications.
Researchers at various levels will find these chapters useful to understand the theory, algorithms, and implementation of many of these approaches.
This two-volume set on Deformable Models: Biomedical and Clinical Applications & Theory and Biomaterial Applications provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by well-known researchers in this field, and the presentation style goes beyond an intricate abstraction of the theory into real application of the methods and description of the algorithms that were implemented. As such these chapters will serve the main goal of the editors of these two volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues.
Overall, the thirty-one chapters in the two volumes provide an elegant crosssection of the theory and application of variational and PDE approaches in medical image analysis. Graduate students and researchers at various levels of familiarity with these techniques will find the two volumes very useful for understanding the theory and algorithmic implementations. In addition, the various case studies provided demonstrate the power of these techniques in clinical applications.
Researchers at various levels will find these chapters useful to understand the theory, algorithms, and implementation of many of these approaches.
