| 书目名称 | Content-based Retrieval of Medical Images | | 副标题 | Landmarking, Indexin | | 编辑 | Paulo Mazzoncini de Azevedo-Marques,Rangaraj Manda | | 视频video | | | 丛书名称 | Synthesis Lectures on Biomedical Engineering | | 图书封面 |  | | 描述 | Content-based image retrieval (CBIR) is the process of retrieval of images from a database that are similar to a query image, using measures derived from the images themselves, rather than relying on accompanying text or annotation. To achieve CBIR, the contents of the images need to be characterized by quantitative features; the features of the query image are compared with the features of each image in the database and images having high similarity with respect to the query image are retrieved and displayed. CBIR of medical images is a useful tool and could provide radiologists with assistance in the form of a display of relevant past cases. One of the challenging aspects of CBIR is to extract features from the images to represent their visual, diagnostic, or application-specific information content. In this book, methods are presented for preprocessing, segmentation, landmarking, feature extraction, and indexing of mammograms for CBIR. The preprocessing steps include anisotropic diffusion and the Wiener filter to remove noise and perform image enhancement. Techniques are described for segmentation of the breast and fibroglandular disk, including maximum entropy, a moment-preserv | | 出版日期 | Book 2013 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01651-6 | | isbn_softcover | 978-3-031-00523-7 | | isbn_ebook | 978-3-031-01651-6Series ISSN 1930-0328 Series E-ISSN 1930-0336 | | issn_series | 1930-0328 | | copyright | Springer Nature Switzerland AG 2013 |
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发表于 2025-3-21 18:55:58
