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發(fā)表于 2025-3-21 17:20:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Guide to Medical Image Analysis
編輯Klaus D. Toennies
視頻videohttp://file.papertrans.cn/391/390869/390869.mp4
叢書名稱Advances in Computer Vision and Pattern Recognition
圖書封面Titlebook: ;
出版日期Textbook 2017Latest edition
版次2
doihttps://doi.org/10.1007/978-1-4471-7320-5
isbn_softcover978-1-4471-7403-5
isbn_ebook978-1-4471-7320-5Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:07:37 | 只看該作者
Digital Image Acquisition,may be post-processed for analysis by a computer-assisted method. Medical images come in one of two varieties: Projection images project a physical parameter in the human body on a 2d image, while slice images produce a one-to-one mapping of the measured value. Medical images may show anatomy includ
板凳
發(fā)表于 2025-3-22 02:45:24 | 只看該作者
地板
發(fā)表于 2025-3-22 06:24:27 | 只看該作者
5#
發(fā)表于 2025-3-22 11:11:33 | 只看該作者
Feature Detection,arts are generated from results of an edge-enhancement step, while key point locations are local extrema of some local object property. Features may also be computed from samples of an object’s boundary or interior. Potential object boundary parts are used for detecting or delineating objects in ima
6#
發(fā)表于 2025-3-22 14:06:40 | 只看該作者
Segmentation: Principles and Basic Techniques,mentation often refers to the delineation of specific structures. Hence, it includes parts of classification as well. Segmentation strategies in medical imaging combine data knowledge with domain knowledge to arrive at the result. Data knowledge refers to assumptions about continuity, homogeneity, a
7#
發(fā)表于 2025-3-22 18:13:32 | 只看該作者
Segmentation in Feature Space,ore semantics with respect to object class membership than intensity in a photograph. Hence, image segmentation can be done as classification in feature space where image intensities are the features. The dimensionality of feature space is usually low, and the number of samples characterizing object
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發(fā)表于 2025-3-23 00:16:25 | 只看該作者
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發(fā)表于 2025-3-23 02:15:40 | 只看該作者
Active Contours and Active Surfaces,spective of the image content. They are particularly useful if such properties cannot be derived everywhere from the data. We will discuss explicit and implicit active contours, their definition, parameterization, and properties. Different fitting methods for active contours will be presented in det
10#
發(fā)表于 2025-3-23 08:00:15 | 只看該作者
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