Titlebook: Despeckle Filtering for Ultrasound Imaging and Video, Volume II; Selected Application Christos P. Loizou,Constantinos S. Pattichis Book 201

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書目名稱Despeckle Filtering for Ultrasound Imaging and Video, Volume II影響因子(影響力)學科排名




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干旱

Summary and Future Directions, plaque (see Chapter 2), on the results for texture analysis and image/video quality evaluation (see Chapter 3) and on the findings for the wireless ultrasound video communication and encoding (see Chapter 4). Furthermore, areas of future research directions on despeckle filtering and briefly discussed.

JIBE

1938-1727 therefore essential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the problem of

forebear

OASIS

HUSH

Book 2015Latest editionessential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the problem of speckle i

HUSH

Evaluation of Despeckle Filtering of Carotid Plaque Imaging and Video Based on Texture Analysis,he kNN classifier, which are used to evaluate despeckle filtering (see also companion volume I [1]) on imaging and video. Finally, the procedure of visual despeckle filtering evaluation carried out by experts is presented.

腫塊

Wireless Video Communication Using Despeckle Filtering and HEVC,the new High Efficiency Video Coding (HEVC) standard, the use of despeckle filtering facilitates significant bitrate gains for equivalent clinical quality, which can provide for beyond high-definition (HD) real-time communication of ultrasound video over emerging wireless networks. The presented study is based on [188–190].

GRAIN

CROAK

Carl C. Gaither,Alma E. Cavazos-GaitherIn the following chapters we will present the application and results of the segmentation of the IMC the ML and the IL of the CCA as well as the segmentation of the atherosclerotic carotid plaque from ultrasound images and videos.