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Titlebook: Digital Signal Processing for Medical Imaging Using Matlab; E.S. Gopi Book 2013 Springer Science+Business Media New York 2013 DSP for Medi

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發(fā)表于 2025-3-21 17:43:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Digital Signal Processing for Medical Imaging Using Matlab
編輯E.S. Gopi
視頻videohttp://file.papertrans.cn/280/279678/279678.mp4
概述Acts as a “starter kit” for beginners doing research in DSP for medical imaging.Uses Matlab programs and illustrations throughout to make content accessible, particularly with techniques such as Radon
圖書封面Titlebook: Digital Signal Processing for Medical Imaging Using Matlab; E.S. Gopi Book 2013 Springer Science+Business Media New York 2013 DSP for Medi
描述This book describes medical imaging systems, such as X-ray, Computed tomography, MRI, etc. from the point of view of digital signal processing. Readers will see techniques applied to medical imaging such as Radon transformation, image reconstruction, image rendering, image enhancement and restoration, and more. This book also outlines the physics behind medical imaging required to understand the techniques being described. The presentation is designed to be accessible to beginners who are doing research in DSP for medical imaging. Matlab programs and illustrations are used wherever possible to reinforce the concepts being discussed.
出版日期Book 2013
關(guān)鍵詞DSP for Medical Imaging; DSP for Medical Imaging with Matlab; Digital Signal Processing; Image Processi
版次1
doihttps://doi.org/10.1007/978-1-4614-3140-4
isbn_softcover978-1-4899-9439-4
isbn_ebook978-1-4614-3140-4
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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發(fā)表于 2025-3-21 21:20:43 | 只看該作者
978-1-4899-9439-4Springer Science+Business Media New York 2013
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發(fā)表于 2025-3-22 01:46:38 | 只看該作者
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Mobile Communication Security Controllers, Image compression and feature extraction. Image enhancement is the process of improving the visual quality of the image. Image compression helps to store the obtained data with less memory. Feature extraction are used for medical image classification. This chapter deals with these basic post imaging techniques.
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Typical Quantum Network Coding Schemeshapter, the continuous domain version of the forward and the inverse radon transformation (with the parallel beam and the fan beam projection geometry) are explained. The experiment on the realization of the discretized version of those equations is performed with an example image using MATLAB. Inte
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Mobile Communication Security Controllersis chapter. The steps involved in capturing the MRI image is demonstrated considering, . sized matrix as the image slice. The main objective of this chapter is to give the feel on the procedure involved in obtaining the MRI image. The illustrations in this chapter assume the availability of the iden
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Mobile Communication Security Controllers, Image compression and feature extraction. Image enhancement is the process of improving the visual quality of the image. Image compression helps to store the obtained data with less memory. Feature extraction are used for medical image classification. This chapter deals with these basic post imagi
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