Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies : Volume 1 /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: El-Baz, Ayman S. (Editor ), Acharya U, Rajendra. (Editor ), Mirmehdi, Majid. (Editor ), Suri, Jasjit S. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer US : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Materias:
Tabla de Contenidos:
  • Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models
  • Deformable Model-based Medical Image Segmentation
  • Anisotropic Scale Selection, Robust Gaussian Fitting, and Pulmonary Nodule Segmentation in Chest CT Scans
  • Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm
  • Segmentation of Skin Cancer Using External Force Filtering Snake Based on Wavelet Diffusion
  • Density and Attachment Agnostic CT pulmonary Nodule Segmentation with Competition-diffusion and New Morphological Operators
  • Accurate Modeling of Marginal Signal Distributions In 2d/3d Images
  • Automated Ocular Localization in Thermographic Sequences of Contact Lens Wearer
  • State-of-the-Art Medical Images Registration Methodologies: A Survey
  • Registered 3D Tagged MRI and Ultrasound Myocardial Elastography: Quantitative Strain Comparison
  • Unsupervised Change Detection in Multitemporal Images of the Human Retina
  • Digital Topology in Brain Image Segmentation and Registration
  • Computer-Based Identification of Diabetic Maculopathy Stages Using Fundus Images.