White Matter/Gray Matter Boundary Segmentation Using Geometric Snakes: A Fuzzy Deformable Model
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Topological derivative: A tool for image processing
Computers and Structures
Effect of Number of Coupled Structures on the Segmentation of Brain Structures
Journal of Signal Processing Systems
An improved level set for liver segmentation and perfusion analysis in MRIs
IEEE Transactions on Information Technology in Biomedicine
Image segmentation using information bottleneck method
IEEE Transactions on Image Processing
Automatic segmentation of the left ventricle cavity and myocardium in MRI data
Computers in Biology and Medicine
Web-based interactive 2D/3D medical image processing and visualization software
Computer Methods and Programs in Biomedicine
A fuzzy segmentation method for Computed Tomography images
International Journal of Intelligent Information and Database Systems
Image segmentation using streamlines analogy
Machine Graphics & Vision International Journal
Image segmentation fusion using general ensemble clustering methods
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Adaptive splitting and selection algorithm for classification of breast cytology images
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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Medical imaging is generally recognised as key to the success of better diagnosis and patient care and this book, describing state-of-the-art techniques, is a valuable contribution to the literature. Comprising contributions from authors based in both industry and academia, it focuses primarily on state-of-the-art model based segmentation techniques as applied to CT, MRI, ultrasound, X-ray and mammography. Different applications, such as to cardiac, brain, breast and microscopic cancer cell imaging, are covered and pseudo algorithms are presented. As an overview of state-of-the art techniques, this book will be of particular interest to students and researchers in the fields of medical engineering, image processing, computer graphics, mathematical modelling and data analysis, but it will also be of interest to researchers in the fields of radiology, cardiology, pathology and neurology.