How Long to Read Content-based Retrieval of Medical Images

How Long Does it Take to Read Content-based Retrieval of Medical Images?

It takes the average reader 2 hours and 27 minutes to read Content-based Retrieval of Medical Images by Paulo Mazzoncini de Azevedo-Marques

Assuming a reading speed of 250 words per minute. Learn more

Description

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-preserving method, and Otsu's method. Image processing techniques are described for automatic detection of the nipple and the edge of the pectoral muscle via analysis in the Radon domain. By using the nipple and the pectoral muscle as landmarks, mammograms are divided into their internal, external, upper, and lower parts for further analysis. Methods are presented for feature extraction using texture analysis, shape analysis, granulometric analysis, moments, and statistical measures. The CBIR system presented provides options for retrieval using the Kohonen self-organizing map and the k-nearest-neighbor method. Methods are described for inclusion of expert knowledge to reduce the semantic gap in CBIR, including the query point movement method for relevance feedback (RFb). Analysis of performance is described in terms of precision, recall, and relevance-weighted precision of retrieval. Results of application to a clinical database of mammograms are presented, including the input of expert radiologists into the CBIR and RFb processes. Models are presented for integration of CBIR and computer-aided diagnosis (CAD) with a picture archival and communication system (PACS) for efficient workflow in a hospital. Table of Contents: Introduction to Content-based Image Retrieval / Mammography and CAD of Breast Cancer / Segmentation and Landmarking of Mammograms / Feature Extraction and Indexing of Mammograms / Content-based Retrieval of Mammograms / Integration of CBIR and CAD into Radiological Workflow

How long is Content-based Retrieval of Medical Images?

Content-based Retrieval of Medical Images by Paulo Mazzoncini de Azevedo-Marques is 145 pages long, and a total of 36,975 words.

This makes it 49% the length of the average book. It also has 45% more words than the average book.

How Long Does it Take to Read Content-based Retrieval of Medical Images Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 22 minutes to read Content-based Retrieval of Medical Images aloud.

What Reading Level is Content-based Retrieval of Medical Images?

Content-based Retrieval of Medical Images is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Content-based Retrieval of Medical Images?

Content-based Retrieval of Medical Images by Paulo Mazzoncini de Azevedo-Marques is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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