Statistical Shape Models for 3D Medical Image Segmentation 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Tobias Heimann 作者

VDM Verlag

译者

2009-01-06 出版日期

208 页数

USD 111.00 价格

Paperback

丛书系列

9783639050561 图书编码

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Statistical Shape Models for 3D Medical Image Segmentation 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

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The increasing importance of three-dimensional imaging in medicine leads to a growing demand for volumetric image analysis and automatic segmentation. Due to their robust performance, statistical shape models trained on a collection of example data are especially suited for that purpose. In this book, a three-step procedure for generating these models and employing them for 3D segmentation is presented. The first step is the identification of corresponding landmarks on the example data, required for training the geometric models. The second step consists of modeling the appearance, i.e. gray-value environment, of the object of interest. The final step integrates shape and appearance model into a robust search algorithm to analyze new images. The presented methods were evaluated on three medical applications: segmentation of the liver in CT data, of the lung in MRI data, and of the prostate in ultrasound images. This book is targeted towards graduate students and researchers in biomedical image analysis who want to gain in-depth insight into the field of statistical shape modeling.

Statistical Shape Models for 3D Medical Image Segmentation 在线电子书下载 mobi epub pdf txt 在线电子书下载

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