| 書(shū)目名稱(chēng) | Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging |
| 副標(biāo)題 | MICCAI 2016 Internat |
| 編輯 | Henning Müller,B. Michael Kelm,Annemie Ribbens |
| 視頻video | http://file.papertrans.cn/630/629126/629126.mp4 |
| 概述 | Includes supplementary material: |
| 叢書(shū)名稱(chēng) | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 描述 | .This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016.. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions.. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images.. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.. |
| 出版日期 | Conference proceedings 2017 |
| 關(guān)鍵詞 | image analysis; image reconstruction; image segmentation; artificial intelligence; computer vision; medic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-61188-4 |
| isbn_softcover | 978-3-319-61187-7 |
| isbn_ebook | 978-3-319-61188-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-26 10:02
發(fā)表于 2025-3-21 18:29:47
