| 書(shū)目名稱 | Machine Learning in Medical Imaging | | 副標(biāo)題 | First International | | 編輯 | Fei Wang,Pingkun Yan,Dinggang Shen | | 視頻video | http://file.papertrans.cn/621/620682/620682.mp4 | | 概述 | State-of-the-art research.Fast-track conference proceedings.Unique visibility | | 叢書(shū)名稱 | Lecture Notes in Computer Science | | 圖書(shū)封面 |  | | 描述 | The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, China on Sept- ber 20, 2010 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2010. Machine learning plays an essential role in the medical imaging field, including image segmentation, image registration, computer-aided diagnosis, image fusion, ima- guided therapy, image annotation, and image database retrieval. With advances in me- cal imaging, new imaging modalities, and methodologies such as cone-beam/multi-slice CT, 3D Ultrasound, tomosynthesis, diffusion-weighted MRI, electrical impedance to- graphy, and diffuse optical tomography, new machine-learning algorithms/applications are demanded in the medical imaging field. Single-sample evidence provided by the patient’s imaging data is often not sufficient to provide satisfactory performance; the- fore tasks in medical imaging require learning from examples to simulate a physician’s prior knowledge of the data. The MLMI 2010 is the first workshop on this topic. The workshop focuses on major trends and challenges in this a | | 出版日期 | Conference proceedings 2010 | | 關(guān)鍵詞 | MRI; anatomy; computer-aided diagnosis; image analysis; image database retrieval; image reconstruction; im | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-15948-0 | | isbn_softcover | 978-3-642-15947-3 | | isbn_ebook | 978-3-642-15948-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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