| 书目名称 | Computer Vision Approaches to Medical Image Analysis |
| 副标题 | Second International |
| 编辑 | Reinhard R. Beichel,Milan Sonka |
| 视频video | http://file.papertrans.cn/235/234019/234019.mp4 |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | Medical imaging and medical image analysis are developing rapidly. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision ( |
| 出版日期 | Conference proceedings 2006 |
| 关键词 | 3D imaging; Bayesian networks; Computer Vision; Ensembl; Image segmentation; Scale-invariant feature tran |
| 版次 | 1 |
| doi | https://doi.org/10.1007/11889762 |
| isbn_softcover | 978-3-540-46257-6 |
| isbn_ebook | 978-3-540-46258-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手机版|小黑屋|
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