医学图像分析用的计算机视觉方法： CVAMIA 2006 /论文集Computer vision approaches to medical image analysis
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作者： Reinhard R. Beichel著
出 版 社： 湖南文艺出版社
出版时间： 2006-12-1字数：版次： 1页数： 262印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540462576包装： 平装内容简介
This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006.
The 10 revised full papers and 11 revised poster papers presented together with 1 invited talk were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on clinical applications, image registration, image segmentation and analysis, and the poster session.
目录
Clinical Applications
Melanoma Recognition Using Representative and Discriminative KernelClassifiers
Detection of Connective Tissue Disorders from 3D Aortic MR ImagesUsing Independent Component Analysis
Comparing Ensembles of Learners: Detecting Prostate Cancer fromHigh Resolution MRI
Accurate Measurement of Cartilage Morphology Using a 3D LaserScanner
Image Registration
Quantification of Growth and Motion Using Non-rigid Registration
Image Registration Accuracy Estimation Without Ground Truth UsingBootstrap
SIFT and Shape Context for Feature-Based Nonlinear Registration ofThoracic CT Images
Consistent and Elastic Registration of Histological Sections UsingVector-Spline Regularization
Image Segmentation and Analysis
Comparative Analysis of Kernel Methods for Statistical ~ShapeLearning
Segmentation of Dynamic Emission Tomography Data in ProjectionSpace
A Framework for Unsupervised Segmentation of Multi-modal MedicalImages
Poster Session
An Integrated Algorithm for MRI Brain Images Segmentation
Spatial Intensity Correction of Fluorescent Confocal Laser ScanningMicroscope Images
Quasi-conformal Flat Representation of Triangulated Surfaces forComputerized Tomography
Bony Structure Suppression in Chest Radiographs
A Minimally-Interactive Watershed Algorithm Designed for EfficientCTA Bone Removal
Automatic Reconstruction of Dendrite Morphology from OpticalSection Stacks
Modeling the Activity Pattern of the Constellation of Cardiac Chambers in Echocardiogram Videos
……
Author Index
