| 书目名称 | Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis |
| 副标题 | ECCV 2004 Workshops |
| 编辑 | Milan Sonka,Ioannis A. Kakadiaris,Jan Kybic |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | Medical imaging and medical image analysisare rapidly developing. 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. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analys |
| 出版日期 | Conference proceedings 2004 |
| 关键词 | 3 d imaging; Computer Vision; Image segmentation; biomedical engineering; biomedical image analysis; huma |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b98995 |
| isbn_softcover | 978-3-540-22675-8 |
| isbn_ebook | 978-3-540-27816-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
发表于 2025-3-21 16:45:38
