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商品詳細
Creating New Medical Ontologies for Image Annotation: A Case Study. 2012
・ISBN 978-1-4614-1908-2 paper
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| 著者・編者 | Stanescu, Liana / Burdescu, Dumitru Dan / Brezovan, Marius / Mihai, Cristian Gabriel, |
|---|---|
| シリーズ | (SpringerBriefs in Electrical and Computer Engineering) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2011 |
| ページ数 | 111 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-52850＞ |
解説
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.
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.