| Description |
1 online resource (x, 368 pages) : illustrations (some color) |
| Contents |
Medical Image Segmentation: A Brief Survey -- Cerebral White Matter Segmentation using Probabilistic Graph Cut Algorithm -- A New Image-Based Framework for Analyzing Cine Images -- Medical Images Segmentation Using Learned Priors -- Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features -- Segmentation and Skeletonization of 3-D Contrast Enhanced Ultrasound Images for the Characterization of Single Thyroid -- Shape-Based Detection of Cortex Variability for More Accurate Discrimination Between Autistic and Normal Brains -- Surface Reconstruction and Geometric Modeling for Digital Prosthesis Design -- Medical Image Registration -- Robust Image Registration Based on Learning Prior Appearance Model -- Image Registration in Medical Imaging: Applications, Methods and Clinical Evaluation -- The Applications of Feature-Based Image Metamorphosis and Eyelashes Removal in the Investigations of Ocular Thermographic Sequences -- Segmentation-Assisted Registration for Brain MR Images |
| Summary |
Annotation Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Diagnostic imaging -- Digital techniques.
|
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Image segmentation.
|
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Image registration.
|
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Diagnostic Imaging -- methods
|
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Image Interpretation, Computer-Assisted -- methods
|
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Diagnostic imaging -- Digital techniques
|
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Image registration
|
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Image segmentation
|
| Form |
Electronic book
|
| Author |
El-Baz, Ayman
|
| ISBN |
9781441982049 |
|
1441982043 |
|
9781441982032 |
|
1441982035 |
|
