| 書目名稱 | Creating New Medical Ontologies for Image Annotation |
| 副標(biāo)題 | A Case Study |
| 編輯 | Liana Stanescu,Dumitru Dan Burdescu,Cristian Gabri |
| 視頻video | http://file.papertrans.cn/240/239394/239394.mp4 |
| 概述 | Introduces a new algorithm for color images segmentation, based on a hexagonal grid, with very good results.Covers a high number of experiments effectuated on a database with thousands of color medica |
| 叢書名稱 | SpringerBriefs in Electrical and Computer Engineering |
| 圖書封面 |  |
| 描述 | .Creating New Medical Ontologies for Image Annotation. focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. .In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords. |
| 出版日期 | Book 2012 |
| 關(guān)鍵詞 | Automated ontologies; Color images segmentation; Cross media relevance models; Image annotation; MESH; On |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-1909-9 |
| isbn_softcover | 978-1-4614-1908-2 |
| isbn_ebook | 978-1-4614-1909-9Series ISSN 2191-8112 Series E-ISSN 2191-8120 |
| issn_series | 2191-8112 |
| copyright | Springer Science+Business Media, LLC 2012 |
|Archiver|手機(jī)版|小黑屋|
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